---
_id: '7175'
abstract:
- lang: eng
text: Deep reinforcement learning (RL) policies for robotic control typically overfit
to a single hardware configuration. Any change to the kinematic chain breaks the
learned mapping and requires complete retraining. This paper investigates whether
combining self-attention mechanisms with explicit spatial observations can improve
a policy’s adaptability to varying kinematic topologies. We train a single RL
agent to control a robotic manipulator across different degrees of freedom (DOF),
ranging from a restricted 4-DOF mode to a fully redundant 7-DOF configuration.
Instead of fixed-length state vectors, the method processes the active joints
as a variable-length sequence in an attention buffer, enriching each joint’s representation
with its relative spatial routing and geometric Jacobian influence. This structure
allows the agent to dynamically evaluate the physical utility of its available
actuators. The proposed Architecture reaches a success rate of 82.1% across trained
topologies and 66.6% on unseen configurations, outperforming MLP and generic attention
baselines while remaining nearly collisionfree. Finally, we demonstrate successful
sim-to-real transfer by deploying the simulation-trained agent on a physical Franka
Emika Panda manipulator.
author:
- first_name: Patrick Thomas
full_name: Mayer, Patrick Thomas
id: '244831'
last_name: Mayer
orcid: 0009-0009-6800-1273
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-6800-1273/work/227375532
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4579-214X/work/227375533
citation:
alphadin: 'Mayer, Patrick Thomas ;
Rexilius, Jan: Adapting to Variable
Kinematic Configurations: A Causal-Kinematic Attention Approach for Robotic Control.
In:'
ama: 'Mayer PT, Rexilius J. Adapting to Variable Kinematic Configurations: A Causal-Kinematic
Attention Approach for Robotic Control.'
apa: 'Mayer, P. T., & Rexilius, J. (n.d.). Adapting to Variable Kinematic Configurations:
A Causal-Kinematic Attention Approach for Robotic Control. Presented at the 9th
Iberian Robotics Conference (ROBOT) , Barcelona.'
bibtex: '@inproceedings{Mayer_Rexilius, title={Adapting to Variable Kinematic Configurations:
A Causal-Kinematic Attention Approach for Robotic Control}, author={Mayer, Patrick
Thomas and Rexilius, Jan} }'
chicago: 'Mayer, Patrick Thomas, and Jan Rexilius. “Adapting to Variable Kinematic
Configurations: A Causal-Kinematic Attention Approach for Robotic Control,” n.d.'
ieee: 'P. T. Mayer and J. Rexilius, “Adapting to Variable Kinematic Configurations:
A Causal-Kinematic Attention Approach for Robotic Control,” presented at the 9th
Iberian Robotics Conference (ROBOT) , Barcelona.'
mla: 'Mayer, Patrick Thomas, and Jan Rexilius. Adapting to Variable Kinematic
Configurations: A Causal-Kinematic Attention Approach for Robotic Control.'
short: 'P.T. Mayer, J. Rexilius, in: n.d.'
conference:
end_date: 2026-11-20
location: Barcelona
name: '9th Iberian Robotics Conference (ROBOT) '
start_date: 2026-11-18
date_created: 2026-09-21T16:34:09Z
date_updated: 2026-09-21T19:31:42Z
department:
- _id: '102'
keyword:
- Reinforcement Learning
- Robotic Manipulation
- Morphology Generalization
- Sim-to-Real Transfer
language:
- iso: eng
project:
- _id: A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D
name: Institute for Building Intelligence
publication_status: accepted
quality_controlled: '1'
status: public
title: 'Adapting to Variable Kinematic Configurations: A Causal-Kinematic Attention
Approach for Robotic Control'
type: conference
user_id: '244831'
year: '2026'
...
---
_id: '7174'
abstract:
- lang: eng
text: This paper presents a hybrid control architecture for dynamic robotic picking
tasks. The framework combines a Deep Reinforcement Learning policy for high-level
interception with a dedicated Inverse Kinematics controller for precise terminal
grasping, while mitigating precision limitations of monolithic learning-based
approaches. The framework utilizes a Proximal Policy Optimization agent to approach
moving targets, seamlessly transitioning to an Inverse Kinematics solver that
reduces terminal orientational and positional errors while minimizing cumulative
control effort. To facilitate deployment on physical hardware, a robust sim-to-real
pipeline incorporating system identification, domain randomization, and latency
injection is employed. Experimental results on a physical Franka Emika Panda manipulator
validate this hybrid architecture. The system achieves an 80% success rate in
pick-and-place tasks, compared to 60.8% for unadapted baselines, with no safety-critical
violations such as joint limit breaches or collisions observed during testing.
author:
- first_name: Patrick Thomas
full_name: Mayer, Patrick Thomas
id: '244831'
last_name: Mayer
orcid: 0009-0009-6800-1273
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-6800-1273/work/227375528
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4579-214X/work/227375529
citation:
alphadin: 'Mayer, Patrick Thomas ;
Rexilius, Jan: A Hybrid Control
Framework Using Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real
Transfer. In:'
ama: Mayer PT, Rexilius J. A Hybrid Control Framework Using Reinforcement Learning
for Dynamic Robotic Manipulation and Sim-to-Real Transfer.
apa: Mayer, P. T., & Rexilius, J. (n.d.). A Hybrid Control Framework Using Reinforcement
Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer. Presented
at the 26th International Conference on Control, Automation and Systems (ICCAS),
Sapporo.
bibtex: '@inproceedings{Mayer_Rexilius, title={A Hybrid Control Framework Using
Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer},
author={Mayer, Patrick Thomas and Rexilius, Jan} }'
chicago: Mayer, Patrick Thomas, and Jan Rexilius. “A Hybrid Control Framework Using
Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer,”
n.d.
ieee: P. T. Mayer and J. Rexilius, “A Hybrid Control Framework Using Reinforcement
Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer,” presented
at the 26th International Conference on Control, Automation and Systems (ICCAS),
Sapporo.
mla: Mayer, Patrick Thomas, and Jan Rexilius. A Hybrid Control Framework Using
Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer.
short: 'P.T. Mayer, J. Rexilius, in: n.d.'
conference:
end_date: 2026-10-30
location: Sapporo
name: 26th International Conference on Control, Automation and Systems (ICCAS)
start_date: 2026-10-27
date_created: 2026-09-21T16:30:06Z
date_updated: 2026-09-21T19:31:37Z
department:
- _id: '102'
keyword:
- Reinforcement Learning
- Hybrid Control
- Sim-to-Real
- Robotic Manipulation
- Inverse Kinematics.
language:
- iso: eng
project:
- _id: A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D
name: Institute for Building Intelligence
publication_status: accepted
quality_controlled: '1'
status: public
title: A Hybrid Control Framework Using Reinforcement Learning for Dynamic Robotic
Manipulation and Sim-to-Real Transfer
type: conference
user_id: '244831'
year: '2026'
...
---
_id: '6998'
author:
- first_name: Viktoriia
full_name: Vovchenko, Viktoriia
id: '252442'
last_name: Vovchenko
orcid: 0009-0004-9798-1112
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0004-9798-1112/work/218229244
- first_name: Vincenzo
full_name: Barberi, Vincenzo
id: '248039'
last_name: Barberi
orcid: 0009-0007-8171-1208
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0007-8171-1208/work/224815720
- first_name: Sergej
full_name: Schultenkämper, Sergej
id: '236164'
last_name: Schultenkämper
orcid: 0009-0005-6858-9813
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0005-6858-9813/work/218229246
- first_name: Frederik
full_name: Bäumer, Frederik
id: '241734'
last_name: Bäumer
orcid: 0000-0002-0826-0144
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-0826-0144/work/218229247
citation:
alphadin: 'Vovchenko, Viktoriia ;
Barberi, Vincenzo ; Schultenkämper,
Sergej ; Bäumer, Frederik:
ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images.
In: 2026 The First International Conference on Security and Cybersecurity in
the AI and Digital Context'
ama: 'Vovchenko V, Barberi V, Schultenkämper S, Bäumer F. ADRIAN InstructFace-Edit
- Towards Robust Detection of AI-Manipulated Face Images. In: 2026 The First
International Conference on Security and Cybersecurity in the AI and Digital Context.'
apa: Vovchenko, V., Barberi, V., Schultenkämper, S., & Bäumer, F. (n.d.). ADRIAN
InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images. In
2026 The First International Conference on Security and Cybersecurity in the
AI and Digital Context. Porto, Portugal.
bibtex: '@inproceedings{Vovchenko_Barberi_Schultenkämper_Bäumer, title={ADRIAN InstructFace-Edit
- Towards Robust Detection of AI-Manipulated Face Images}, booktitle={2026 The
First International Conference on Security and Cybersecurity in the AI and Digital
Context}, author={Vovchenko, Viktoriia and Barberi, Vincenzo and Schultenkämper,
Sergej and Bäumer, Frederik} }'
chicago: Vovchenko, Viktoriia, Vincenzo Barberi, Sergej Schultenkämper, and Frederik
Bäumer. “ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated
Face Images.” In 2026 The First International Conference on Security and Cybersecurity
in the AI and Digital Context, n.d.
ieee: V. Vovchenko, V. Barberi, S. Schultenkämper, and F. Bäumer, “ADRIAN InstructFace-Edit
- Towards Robust Detection of AI-Manipulated Face Images,” in 2026 The First
International Conference on Security and Cybersecurity in the AI and Digital Context,
Porto, Portugal.
mla: Vovchenko, Viktoriia, et al. “ADRIAN InstructFace-Edit - Towards Robust Detection
of AI-Manipulated Face Images.” 2026 The First International Conference on
Security and Cybersecurity in the AI and Digital Context.
short: 'V. Vovchenko, V. Barberi, S. Schultenkämper, F. Bäumer, in: 2026 The First
International Conference on Security and Cybersecurity in the AI and Digital Context,
n.d.'
conference:
end_date: 2026-06-11
location: Porto, Portugal
name: 2026 The First International Conference on Security and Cybersecurity in the
AI and Digital Context
start_date: 2026-06-05
date_created: 2026-06-19T16:23:04Z
date_updated: 2026-09-21T14:56:26Z
keyword:
- Deepfakes
- Image forensics
- Diffusion models
- Computer vision
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.dtrsociety.org/library/contribution/cybersec2026_20057/
oa: '1'
publication: 2026 The First International Conference on Security and Cybersecurity
in the AI and Digital Context
publication_identifier:
isbn:
- 978-1-68558-449-8
publication_status: accepted
status: public
title: ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face
Images
type: conference
user_id: '252442'
year: '2026'
...
---
_id: '7002'
abstract:
- lang: eng
text: 'Selecting an appropriate semantic segmentation model for a given application
domain remains a challenging and time-consuming task for practitioners and researchers.
This paper presents an interactive, web-based platform that enables side-by-side
visual comparison of multiple neural network segmentation models applied to identical
images. The system integrates three transformer-based segmentation models: a face-parsing
network producing 19 semantic classes, a SegFormer-B3 clothing segmentation model
with 18 classes, and a Mask2Former model for general-purpose scene segmentation
spanning 150 ADE20K categories. Key contributions include side-by-side evaluation
of model outputs across multiple architectures and image categories, with real-time
segment highlighting and a scalable inference caching system that enables model
comparisons without requiring repeated graphics processing unit (GPU) computation.
The platform organizes a curated dataset of images under a hierarchical category
taxonomy, supporting structured evaluation across demographic and contextual variables.
As a practical use case, the system is applied within the ADRIAN project to assist
in verifying identity consistency across images through segmentation-based analysis.
The platform thus contributes a specialized artificial intelligence (AI) tool
for systematic segmentation and object detection model evaluation within media
analysis pipelines, where selecting appropriate models is a recurring challenge
across tasks from identity verification to content moderation. It is available
under https://github.com/vika-v-v/neural-networks-for-image-segmentation and designed
to lower the barrier for comparative model evaluation in applied computer vision
workflows.'
author:
- first_name: Viktoriia
full_name: Vovchenko, Viktoriia
id: '252442'
last_name: Vovchenko
orcid: 0009-0004-9798-1112
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0004-9798-1112/work/218229773
- first_name: Sergej
full_name: Schultenkämper, Sergej
id: '236164'
last_name: Schultenkämper
orcid: 0009-0005-6858-9813
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0005-6858-9813/work/218229775
- first_name: Frederik
full_name: Bäumer, Frederik
id: '241734'
last_name: Bäumer
orcid: 0000-0002-0826-0144
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-0826-0144/work/218229776
citation:
alphadin: 'Vovchenko, Viktoriia ;
Schultenkämper, Sergej ; Bäumer,
Frederik: A Web-Based Platform for Interactive Comparison of Neural Network
Image Segmentation Models. In: Böhm, S.
; Ahrweiler, P. ; Gutenberg,
J. ; Leung, C. (Hrsg.): 2026
The Second International Conference on AI-based Media Innovation : IARIA'
ama: 'Vovchenko V, Schultenkämper S, Bäumer F. A Web-Based Platform for Interactive
Comparison of Neural Network Image Segmentation Models. In: Böhm S, Ahrweiler
P, Gutenberg J, Leung C, eds. 2026 The Second International Conference on AI-Based
Media Innovation. IARIA.'
apa: 'Vovchenko, V., Schultenkämper, S., & Bäumer, F. (n.d.). A Web-Based Platform
for Interactive Comparison of Neural Network Image Segmentation Models. In S.
Böhm, P. Ahrweiler, J. Gutenberg, & C. Leung (Eds.), 2026 The Second International
Conference on AI-based Media Innovation. Nizza, Frankreich: IARIA.'
bibtex: '@inproceedings{Vovchenko_Schultenkämper_Bäumer, title={A Web-Based Platform
for Interactive Comparison of Neural Network Image Segmentation Models}, booktitle={2026
The Second International Conference on AI-based Media Innovation}, publisher={IARIA},
author={Vovchenko, Viktoriia and Schultenkämper, Sergej and Bäumer, Frederik},
editor={Böhm, Stephan and Ahrweiler, Petra and Gutenberg, Johannes and Leung,
Clement Editors} }'
chicago: Vovchenko, Viktoriia, Sergej Schultenkämper, and Frederik Bäumer. “A Web-Based
Platform for Interactive Comparison of Neural Network Image Segmentation Models.”
In 2026 The Second International Conference on AI-Based Media Innovation,
edited by Stephan Böhm, Petra Ahrweiler, Johannes Gutenberg, and Clement Leung.
IARIA, n.d.
ieee: V. Vovchenko, S. Schultenkämper, and F. Bäumer, “A Web-Based Platform for
Interactive Comparison of Neural Network Image Segmentation Models,” in 2026
The Second International Conference on AI-based Media Innovation, Nizza, Frankreich.
mla: Vovchenko, Viktoriia, et al. “A Web-Based Platform for Interactive Comparison
of Neural Network Image Segmentation Models.” 2026 The Second International
Conference on AI-Based Media Innovation, edited by Stephan Böhm et al., IARIA.
short: 'V. Vovchenko, S. Schultenkämper, F. Bäumer, in: S. Böhm, P. Ahrweiler, J.
Gutenberg, C. Leung (Eds.), 2026 The Second International Conference on AI-Based
Media Innovation, IARIA, n.d.'
conference:
end_date: 2026-07-09
location: Nizza, Frankreich
name: 2026 The Second International Conference on AI-based Media Innovation
start_date: 2026-07-05
date_created: 2026-06-19T16:31:47Z
date_updated: 2026-09-21T14:54:44Z
editor:
- first_name: Stephan
full_name: Böhm, Stephan
last_name: Böhm
- first_name: Petra
full_name: Ahrweiler, Petra
last_name: Ahrweiler
- first_name: Johannes
full_name: Gutenberg, Johannes
last_name: Gutenberg
- first_name: 'Clement '
full_name: 'Leung, Clement '
last_name: Leung
keyword:
- segmentation
- model comparison
- face parsing
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.thinkmind.org/library/AIMEDIA/AIMEDIA_2026/aimedia_2026_2_110_40085.html
oa: '1'
publication: 2026 The Second International Conference on AI-based Media Innovation
publication_identifier:
isbn:
- 978-1-68558-403-0
publication_status: accepted
publisher: IARIA
status: public
title: A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation
Models
type: conference
user_id: '252442'
year: '2026'
...
---
_id: '7153'
author:
- first_name: Jan-Philipp
full_name: Schulze, Jan-Philipp
id: '235565'
last_name: Schulze
orcid: 0009-0003-7284-6531
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-7284-6531/work/226345774
- first_name: Philip
full_name: Wette, Philip
id: '246560'
last_name: Wette
citation:
alphadin: 'Schulze, Jan-Philipp ;
Wette, Philip: Online Reconfiguration
of Smart Material Recovery Facilities using Mixed-Integer Linear Programming.
In: Proceedings of the 31st IEEE International Conference on Emerging Technologies
and Factory Automation : IEEE, 2026'
ama: 'Schulze J-P, Wette P. Online Reconfiguration of Smart Material Recovery Facilities
using Mixed-Integer Linear Programming. In: Proceedings of the 31st IEEE International
Conference on Emerging Technologies and Factory Automation. IEEE; 2026.'
apa: 'Schulze, J.-P., & Wette, P. (2026). Online Reconfiguration of Smart Material
Recovery Facilities using Mixed-Integer Linear Programming. In Proceedings
of the 31st IEEE International Conference on Emerging Technologies and Factory
Automation. Västerås, Sweden: IEEE.'
bibtex: '@inproceedings{Schulze_Wette_2026, title={Online Reconfiguration of Smart
Material Recovery Facilities using Mixed-Integer Linear Programming}, booktitle={Proceedings
of the 31st IEEE International Conference on Emerging Technologies and Factory
Automation}, publisher={IEEE}, author={Schulze, Jan-Philipp and Wette, Philip},
year={2026} }'
chicago: Schulze, Jan-Philipp, and Philip Wette. “Online Reconfiguration of Smart
Material Recovery Facilities Using Mixed-Integer Linear Programming.” In Proceedings
of the 31st IEEE International Conference on Emerging Technologies and Factory
Automation. IEEE, 2026.
ieee: J.-P. Schulze and P. Wette, “Online Reconfiguration of Smart Material Recovery
Facilities using Mixed-Integer Linear Programming,” in Proceedings of the 31st
IEEE International Conference on Emerging Technologies and Factory Automation,
Västerås, Sweden, 2026.
mla: Schulze, Jan-Philipp, and Philip Wette. “Online Reconfiguration of Smart Material
Recovery Facilities Using Mixed-Integer Linear Programming.” Proceedings of
the 31st IEEE International Conference on Emerging Technologies and Factory Automation,
IEEE, 2026.
short: 'J.-P. Schulze, P. Wette, in: Proceedings of the 31st IEEE International
Conference on Emerging Technologies and Factory Automation, IEEE, 2026.'
conference:
end_date: 2026-09-11
location: Västerås, Sweden
name: 31st IEEE International Conference on Emerging Technologies and Factory Automation
start_date: 2026-09-08
date_created: 2026-09-10T18:23:11Z
date_updated: 2026-09-21T14:39:18Z
department:
- _id: '102'
file:
- access_level: open_access
content_type: application/pdf
creator: pwette
date_created: 2026-09-10T18:22:28Z
date_updated: 2026-09-10T18:22:28Z
file_id: '7154'
file_name: Online_Reconfiguration_of_Smart_Material_Recovery_Facilities_using_Mixed_Integer_Linear_Programming-2.pdf
file_size: 683589
relation: main_file
success: 1
file_date_updated: 2026-09-10T18:22:28Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D
name: Institute for Building Intelligence
publication: Proceedings of the 31st IEEE International Conference on Emerging Technologies
and Factory Automation
publisher: IEEE
status: public
title: Online Reconfiguration of Smart Material Recovery Facilities using Mixed-Integer
Linear Programming
type: conference
urn: urn:nbn:de:hbz:bi10-71539
user_id: '246560'
year: '2026'
...
---
_id: '7173'
abstract:
- lang: eng
text: Reinforcement learning has achieved state-of-the-art performance in MAV control,
waypoint flight, and obstacle avoidance. However, existing RL approaches often
assume fixed objectives and constraints, with flight behavior largely limited
by vehicle dynamics and orientation considered only when required for locomotion.
Classical planning and model predictive control handle such constraints explicitly,
but require optimization or replanning. This motivates methods that combine learned
local control with explicit constraint handling. We combine reinforcement learning
with control barrier functions to improve constraint-aware execution. We propose
parameterized waypoints that encode orientation, velocity, and corridor constraints.
Simulation and real-world experiments show that a single policy can execute different
constraint-parameterized navigation scenarios, revealing scenario-dependent trade-offs
between traversal time, tracking accuracy, and constraint satisfaction.
author:
- first_name: André
full_name: Kirsch, André
id: '229807'
last_name: Kirsch
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4579-214X/work/227345663
citation:
alphadin: 'Kirsch, André ; Rexilius,
Jan: Reinforcement Learning-based MAV Navigation With Parameterized Waypoints:
Incorporating Orientation, Speed Limits, and Corridor Constraints. In:'
ama: 'Kirsch A, Rexilius J. Reinforcement Learning-based MAV Navigation With Parameterized
Waypoints: Incorporating Orientation, Speed Limits, and Corridor Constraints.'
apa: 'Kirsch, A., & Rexilius, J. (n.d.). Reinforcement Learning-based MAV Navigation
With Parameterized Waypoints: Incorporating Orientation, Speed Limits, and Corridor
Constraints. Presented at the 9th Iberian Robotics Conference (ROBOT), Barcelona.'
bibtex: '@inproceedings{Kirsch_Rexilius, title={Reinforcement Learning-based MAV
Navigation With Parameterized Waypoints: Incorporating Orientation, Speed Limits,
and Corridor Constraints}, author={Kirsch, André and Rexilius, Jan} }'
chicago: 'Kirsch, André, and Jan Rexilius. “Reinforcement Learning-Based MAV Navigation
With Parameterized Waypoints: Incorporating Orientation, Speed Limits, and Corridor
Constraints,” n.d.'
ieee: 'A. Kirsch and J. Rexilius, “Reinforcement Learning-based MAV Navigation With
Parameterized Waypoints: Incorporating Orientation, Speed Limits, and Corridor
Constraints,” presented at the 9th Iberian Robotics Conference (ROBOT), Barcelona.'
mla: 'Kirsch, André, and Jan Rexilius. Reinforcement Learning-Based MAV Navigation
With Parameterized Waypoints: Incorporating Orientation, Speed Limits, and Corridor
Constraints.'
short: 'A. Kirsch, J. Rexilius, in: n.d.'
conference:
end_date: 2026-11-20
location: Barcelona
name: 9th Iberian Robotics Conference (ROBOT)
start_date: 2026-11-18
date_created: 2026-09-21T14:31:38Z
date_updated: 2026-09-21T14:33:10Z
keyword:
- MAV navigation
- Reinforcement learning
- Constrained navigation
- Control barrier functions
language:
- iso: eng
project:
- _id: A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D
name: Institute for Building Intelligence
publication_status: accepted
quality_controlled: '1'
status: public
title: 'Reinforcement Learning-based MAV Navigation With Parameterized Waypoints:
Incorporating Orientation, Speed Limits, and Corridor Constraints'
type: conference
user_id: '229807'
year: '2026'
...
---
_id: '7172'
author:
- first_name: Sven
full_name: Battermann, Sven
last_name: Battermann
- first_name: Mirko
full_name: Halbe, Mirko
last_name: Halbe
citation:
alphadin: 'Battermann, Sven ; Halbe, Mirko: In-situ EMV Messung und
Analyse eines Photovoltaik Balkonkraftwerks mit Mikrowechselrichter. In: Proceedings
EMV Kongress 2026 : Internationale Fachmesse und Kongress für Elektromagnetische
Verträglichkeit. Aachen : Apprimus, 2026'
ama: 'Battermann S, Halbe M. In-situ EMV Messung und Analyse eines Photovoltaik
Balkonkraftwerks mit Mikrowechselrichter. In: Proceedings EMV Kongress 2026 :
Internationale Fachmesse und Kongress für Elektromagnetische Verträglichkeit.
Aachen: Apprimus; 2026. doi:10.15488/21110'
apa: 'Battermann, S., & Halbe, M. (2026). In-situ EMV Messung und Analyse eines
Photovoltaik Balkonkraftwerks mit Mikrowechselrichter. In Proceedings EMV Kongress
2026 : Internationale Fachmesse und Kongress für Elektromagnetische Verträglichkeit.
Aachen: Apprimus. https://doi.org/10.15488/21110'
bibtex: '@inproceedings{Battermann_Halbe_2026, place={Aachen}, title={In-situ EMV
Messung und Analyse eines Photovoltaik Balkonkraftwerks mit Mikrowechselrichter},
DOI={10.15488/21110}, booktitle={Proceedings
EMV Kongress 2026 : Internationale Fachmesse und Kongress für Elektromagnetische
Verträglichkeit}, publisher={Apprimus}, author={Battermann, Sven and Halbe, Mirko},
year={2026} }'
chicago: 'Battermann, Sven, and Mirko Halbe. “In-situ EMV Messung und Analyse eines
Photovoltaik Balkonkraftwerks mit Mikrowechselrichter.” In Proceedings EMV
Kongress 2026 : Internationale Fachmesse und Kongress für Elektromagnetische Verträglichkeit.
Aachen: Apprimus, 2026. https://doi.org/10.15488/21110.'
ieee: 'S. Battermann and M. Halbe, “In-situ EMV Messung und Analyse eines Photovoltaik
Balkonkraftwerks mit Mikrowechselrichter,” in Proceedings EMV Kongress 2026 :
Internationale Fachmesse und Kongress für Elektromagnetische Verträglichkeit,
Köln, 2026.'
mla: 'Battermann, Sven, and Mirko Halbe. “In-situ EMV Messung und Analyse eines
Photovoltaik Balkonkraftwerks mit Mikrowechselrichter.” Proceedings EMV Kongress
2026 : Internationale Fachmesse und Kongress für Elektromagnetische Verträglichkeit,
Apprimus, 2026, doi:10.15488/21110.'
short: 'S. Battermann, M. Halbe, in: Proceedings EMV Kongress 2026 : Internationale
Fachmesse und Kongress für Elektromagnetische Verträglichkeit, Apprimus, Aachen,
2026.'
conference:
end_date: 2026-03-26
location: Köln
name: EMV 2006
start_date: 2026-03-24
date_created: 2026-09-20T19:09:37Z
date_updated: 2026-09-20T19:12:56Z
department:
- _id: '102'
doi: 10.15488/21110
language:
- iso: ger
license: https://creativecommons.org/licenses/by/3.0/
main_file_link:
- open_access: '1'
url: https://repo.uni-hannover.de/bitstreams/2f734850-3360-4ddf-92a5-fe946aa79284/download
oa: '1'
place: Aachen
project:
- _id: A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D
name: Institute for Building Intelligence
publication: 'Proceedings EMV Kongress 2026 : Internationale Fachmesse und Kongress
für Elektromagnetische Verträglichkeit'
publication_status: published
publisher: Apprimus
quality_controlled: '1'
status: public
title: In-situ EMV Messung und Analyse eines Photovoltaik Balkonkraftwerks mit Mikrowechselrichter
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/3.0/legalcode
name: Creative Commons Attribution 3.0 Unported (CC BY 3.0)
short: CC BY (3.0)
type: conference
user_id: '219522'
year: '2026'
...
---
_id: '7171'
abstract:
- lang: eng
text: Edge-based Artificial Intelligence (AI) acceleration has recently improved
progress in real-time object detection. Object detection on edge devices requires
a balance between accuracy, speed, and power efficiency. This paper proposes a
customized Deep Learning Processor Unit (DPU)-aware architecture for attention-based
YOLO variants deployed on AMD FPGAs. Specifically, we evaluate and benchmark YOLOv26
and YOLOv11, two modern attention-based YOLO variants, on the Xilinx ZCU104 across
both standard and oriented object detection tasks. We replace unsupported activation
functions, substitute split operations with 1x1 convolutions, and approximate
the spatial attention mechanism in a DPU-compatible way. All models are then trained
and evaluated across six benchmark datasets such as COCO, Pascal VOC, KITTI, DOTA,
DIOR-R, and an in-house human presence dataset, and benchmarked across all eight
DPU configurations (B512 to B4096) in terms of mAP, FPS, latency, power, and resource
utilization. Notably, YOLOv26n and YOLOv26n-OBB deliver the highest end-to-end
throughput at 34.05 and 29.55 FPS for standard and oriented detection, respectively,
with an average of 5% absolute reduction in accuracy due to quantization while
achieving up to approximately 3x lower power consumption compared with the state
of the art.
author:
- first_name: Suraj
full_name: Karki, Suraj
last_name: Karki
- first_name: Qazi Arbab
full_name: Ahmed, Qazi Arbab
id: '257333'
last_name: Ahmed
orcid: 0000-0002-1837-2254
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-1837-2254/work/227259862
- first_name: Thorsten
full_name: Jungeblut, Thorsten
id: '242294'
last_name: Jungeblut
orcid: 0000-0001-7425-8766
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/227259884
citation:
alphadin: 'Karki, Suraj ; Ahmed,
Qazi Arbab ; Jungeblut, Thorsten:
No Attention, No Problem: DPU-Aware Attention Approximation in Modern YOLO on
FPGA. In: arXiv:2607.13106, 2026'
ama: 'Karki S, Ahmed QA, Jungeblut T. No Attention, No Problem: DPU-Aware Attention
Approximation in Modern YOLO on FPGA. In: ArXiv:2607.13106. ; 2026.'
apa: 'Karki, S., Ahmed, Q. A., & Jungeblut, T. (2026). No Attention, No Problem:
DPU-Aware Attention Approximation in Modern YOLO on FPGA. In arXiv:2607.13106.'
bibtex: '@inproceedings{Karki_Ahmed_Jungeblut_2026, title={No Attention, No Problem:
DPU-Aware Attention Approximation in Modern YOLO on FPGA}, booktitle={arXiv:2607.13106},
author={Karki, Suraj and Ahmed, Qazi Arbab and Jungeblut, Thorsten}, year={2026}
}'
chicago: 'Karki, Suraj, Qazi Arbab Ahmed, and Thorsten Jungeblut. “No Attention,
No Problem: DPU-Aware Attention Approximation in Modern YOLO on FPGA.” In ArXiv:2607.13106,
2026.'
ieee: 'S. Karki, Q. A. Ahmed, and T. Jungeblut, “No Attention, No Problem: DPU-Aware
Attention Approximation in Modern YOLO on FPGA,” in arXiv:2607.13106, 2026.'
mla: 'Karki, Suraj, et al. “No Attention, No Problem: DPU-Aware Attention Approximation
in Modern YOLO on FPGA.” ArXiv:2607.13106, 2026.'
short: 'S. Karki, Q.A. Ahmed, T. Jungeblut, in: ArXiv:2607.13106, 2026.'
date_created: 2026-09-20T15:30:48Z
date_updated: 2026-09-20T15:31:04Z
department:
- _id: '103'
language:
- iso: eng
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
name: Institut für Systemdynamik und Mechatronik
publication: arXiv:2607.13106
status: public
title: 'No Attention, No Problem: DPU-Aware Attention Approximation in Modern YOLO
on FPGA'
type: conference
user_id: '257333'
year: '2026'
...
---
_id: '7166'
author:
- first_name: Kristina
full_name: Seidler-Rolf, Kristina
id: '250348'
last_name: Seidler-Rolf
orcid: 0009-0002-6622-5459
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-6622-5459/work/226930359
- first_name: Flavian
full_name: Knoblauch, Flavian
last_name: Knoblauch
- first_name: Karina
full_name: Ilskens, Karina
id: '245406'
last_name: Ilskens
orcid: 0000-0003-1071-5889
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-1071-5889/work/226930360
citation:
alphadin: 'Seidler-Rolf, Kristina
; Knoblauch, Flavian ; Ilskens,
Karina: Integration von Planetary Health in die Ausbildung: Lehrende durch
ein Train-the-Trainer-Konzept unterstützen. In: , 2026'
ama: 'Seidler-Rolf K, Knoblauch F, Ilskens K. Integration von Planetary Health in
die Ausbildung: Lehrende durch ein Train-the-Trainer-Konzept unterstützen. In:
; 2026.'
apa: 'Seidler-Rolf, K., Knoblauch, F., & Ilskens, K. (2026). Integration von
Planetary Health in die Ausbildung: Lehrende durch ein Train-the-Trainer-Konzept
unterstützen. Presented at the Lernwelten - Stand up and teach, Dresden.'
bibtex: '@inproceedings{Seidler-Rolf_Knoblauch_Ilskens_2026, title={Integration
von Planetary Health in die Ausbildung: Lehrende durch ein Train-the-Trainer-Konzept
unterstützen}, author={Seidler-Rolf, Kristina and Knoblauch, Flavian and Ilskens,
Karina}, year={2026} }'
chicago: 'Seidler-Rolf, Kristina, Flavian Knoblauch, and Karina Ilskens. “Integration
von Planetary Health in die Ausbildung: Lehrende durch ein Train-the-Trainer-Konzept
unterstützen,” 2026.'
ieee: 'K. Seidler-Rolf, F. Knoblauch, and K. Ilskens, “Integration von Planetary
Health in die Ausbildung: Lehrende durch ein Train-the-Trainer-Konzept unterstützen,”
presented at the Lernwelten - Stand up and teach, Dresden, 2026.'
mla: 'Seidler-Rolf, Kristina, et al. Integration von Planetary Health in die
Ausbildung: Lehrende durch ein Train-the-Trainer-Konzept unterstützen. 2026.'
short: 'K. Seidler-Rolf, F. Knoblauch, K. Ilskens, in: 2026.'
conference:
end_date: 2026-09-15
location: Dresden
name: Lernwelten - Stand up and teach
start_date: 2026-09-14
date_created: 2026-09-16T09:57:27Z
date_updated: 2026-09-18T15:40:16Z
department:
- _id: 4b342258-bee3-11eb-b75f-c9bf9d645214
file:
- access_level: open_access
content_type: application/pdf
creator: kseidlerrolf
date_created: 2026-09-16T09:56:05Z
date_updated: 2026-09-16T09:56:05Z
file_id: '7167'
file_name: Naht2-0_Lernwelten2026_Projekt_Projektverlauf_09-09-26.pdf
file_size: 3143793
relation: main_file
success: 1
- access_level: open_access
content_type: application/pdf
creator: kseidlerrolf
date_created: 2026-09-16T09:56:25Z
date_updated: 2026-09-16T09:56:25Z
file_id: '7168'
file_name: Naht2-0_Lernwelten2026_Poster_Materialien_09-09-26.pdf
file_size: 2645035
relation: main_file
success: 1
- access_level: open_access
content_type: application/pdf
creator: kseidlerrolf
date_created: 2026-09-16T17:41:54Z
date_updated: 2026-09-16T17:41:54Z
file_id: '7170'
file_name: Abstract_Lernwelten_2026_Workshop_Projekt_Naht2.0.pdf
file_size: 173208
relation: main_file
success: 1
file_date_updated: 2026-09-16T17:41:54Z
has_accepted_license: '1'
language:
- iso: ger
license: https://creativecommons.org/licenses/by-sa/4.0/
oa: '1'
project:
- _id: 8bf9fb05-cd75-11ed-89f4-a553b3701b2e
name: Institut für Bildungs- und Versorgungsforschung im Gesundheitsbereich
status: public
title: 'Integration von Planetary Health in die Ausbildung: Lehrende durch ein Train-the-Trainer-Konzept
unterstützen'
tmp:
image: /images/cc_by_sa.png
legal_code_url: https://creativecommons.org/licenses/by-sa/4.0/legalcode
name: Creative Commons Attribution-ShareAlike 4.0 International Public License (CC
BY-SA 4.0)
short: CC BY-SA (4.0)
type: conference_abstract
urn: urn:nbn:de:hbz:bi10-71667
user_id: '220548'
year: '2026'
...
---
_id: '7162'
abstract:
- lang: eng
text: Heart rate variability biofeedback has emerged as a validated intervention
for stress management and emotional regulation through coherence breathing techniques.
Existing biofeedback systems typically present cardiac and respiratory signals
as separate feedback channels or rely on discrete interface elements that fragment
attention and disrupt immersion. We present a design framework that extends Viscereality,
a bioresponsive VR framework originally developed for breath mapping, to integrate
multi-channel biofeedback including heart rate within immersive VR, centered on
a particle-based environment that functions as a spatial body-mapping interface.
By leveraging bioresponsive breath interactions for embodiment and weak representational
aesthetics for cardiac coherence, the framework aims to encode both streams within
a shared visual substrate, reducing the attentional task-switching and experiential
fragmentation that multi-channel displays otherwise risk. The system translates
lung volume into spatial expansion and contraction of the environment itself,
maps cardiac coherence onto affective visual dimensions (angularity, brightness,
saturation, symmetry), and embeds breathing guidance within the same geometric
substrate. We present the design rationale and implementation of this framework,
with empirical validation of its effectiveness to be conducted in future studies.
author:
- first_name: George
full_name: Fejer, George
last_name: Fejer
- first_name: Till
full_name: Holzapfel, Till
last_name: Holzapfel
- first_name: Taru
full_name: Hirvonen, Taru
last_name: Hirvonen
- first_name: Anestis-Pere
full_name: Lalidis Mateo, Anestis-Pere
id: '236796'
last_name: Lalidis Mateo
orcid: 0009-0002-9545-9043
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-9545-9043/work/226875376
- first_name: Johannes
full_name: Blum, Johannes
last_name: Blum
- first_name: Michael
full_name: Gaebler, Michael
last_name: Gaebler
- first_name: Bigna
full_name: Lenggenhager, Bigna
last_name: Lenggenhager
citation:
alphadin: 'Fejer, George ; Holzapfel,
Till ; Hirvonen, Taru ; Lalidis Mateo, Anestis-Pere ; Blum,
Johannes ; Gaebler, Michael
; Lenggenhager, Bigna: Breathing
Space: Spatial Mapping of Breath and Cardiac Biofeedback for Affective State Representation
and Coherence Training in Viscereality. In: Association
for Computing Machinery (ACM) (Hrsg.): Proceedings of the 1st International
Conference on Human-Computer Interaction in the Alps. New York, NY, USA :
ACM, 2026, S. 79–86'
ama: 'Fejer G, Holzapfel T, Hirvonen T, et al. Breathing Space: Spatial Mapping
of Breath and Cardiac Biofeedback for Affective State Representation and Coherence
Training in Viscereality. In: Association for Computing Machinery (ACM), ed. Proceedings
of the 1st International Conference on Human-Computer Interaction in the Alps.
New York, NY, USA: ACM; 2026:79-86. doi:10.1145/3780045.3780061'
apa: 'Fejer, G., Holzapfel, T., Hirvonen, T., Lalidis Mateo, A.-P., Blum, J., Gaebler,
M., & Lenggenhager, B. (2026). Breathing Space: Spatial Mapping of Breath
and Cardiac Biofeedback for Affective State Representation and Coherence Training
in Viscereality. In Association for Computing Machinery (ACM) (Ed.), Proceedings
of the 1st International Conference on Human-Computer Interaction in the Alps
(pp. 79–86). New York, NY, USA: ACM. https://doi.org/10.1145/3780045.3780061'
bibtex: '@inproceedings{Fejer_Holzapfel_Hirvonen_Lalidis Mateo_Blum_Gaebler_Lenggenhager_2026,
place={New York, NY, USA}, title={Breathing Space: Spatial Mapping of Breath and
Cardiac Biofeedback for Affective State Representation and Coherence Training
in Viscereality}, DOI={10.1145/3780045.3780061},
booktitle={Proceedings of the 1st International Conference on Human-Computer Interaction
in the Alps}, publisher={ACM}, author={Fejer, George and Holzapfel, Till and Hirvonen,
Taru and Lalidis Mateo, Anestis-Pere and Blum, Johannes and Gaebler, Michael and
Lenggenhager, Bigna}, editor={Association for Computing Machinery (ACM)Editor},
year={2026}, pages={79–86} }'
chicago: 'Fejer, George, Till Holzapfel, Taru Hirvonen, Anestis-Pere Lalidis Mateo,
Johannes Blum, Michael Gaebler, and Bigna Lenggenhager. “Breathing Space: Spatial
Mapping of Breath and Cardiac Biofeedback for Affective State Representation and
Coherence Training in Viscereality.” In Proceedings of the 1st International
Conference on Human-Computer Interaction in the Alps, edited by Association
for Computing Machinery (ACM), 79–86. New York, NY, USA: ACM, 2026. https://doi.org/10.1145/3780045.3780061.'
ieee: 'G. Fejer et al., “Breathing Space: Spatial Mapping of Breath and Cardiac
Biofeedback for Affective State Representation and Coherence Training in Viscereality,”
in Proceedings of the 1st International Conference on Human-Computer Interaction
in the Alps, Ascona Switzerland, 2026, pp. 79–86.'
mla: 'Fejer, George, et al. “Breathing Space: Spatial Mapping of Breath and Cardiac
Biofeedback for Affective State Representation and Coherence Training in Viscereality.”
Proceedings of the 1st International Conference on Human-Computer Interaction
in the Alps, edited by Association for Computing Machinery (ACM), ACM, 2026,
pp. 79–86, doi:10.1145/3780045.3780061.'
short: 'G. Fejer, T. Holzapfel, T. Hirvonen, A.-P. Lalidis Mateo, J. Blum, M. Gaebler,
B. Lenggenhager, in: Association for Computing Machinery (ACM) (Ed.), Proceedings
of the 1st International Conference on Human-Computer Interaction in the Alps,
ACM, New York, NY, USA, 2026, pp. 79–86.'
conference:
end_date: 2026-03-05
location: Ascona Switzerland
name: 'AlpCHI 2026: 1st International Conference on Human-Computer Interaction in
the Alps'
start_date: 2026-03-01
corporate_editor:
- Association for Computing Machinery (ACM)
date_created: 2026-09-16T08:44:02Z
date_updated: 2026-09-16T09:58:10Z
department:
- _id: '102'
doi: 10.1145/3780045.3780061
file:
- access_level: open_access
content_type: application/pdf
creator: alalidismateo
date_created: 2026-09-16T08:24:45Z
date_updated: 2026-09-16T08:24:45Z
file_id: '7163'
file_name: 3780045.3780061.pdf
file_size: 5255806
relation: main_file
success: 1
file_date_updated: 2026-09-16T08:24:45Z
has_accepted_license: '1'
keyword:
- heart rate variability
- biofeedback
- virtual reality
- affective state modulation
- affective visualization
- coherence breathing
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 79-86
place: New York, NY, USA
project:
- _id: A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D
name: Institute for Building Intelligence
publication: Proceedings of the 1st International Conference on Human-Computer Interaction
in the Alps
publication_identifier:
isbn:
- '9798400719486'
publication_status: published
publisher: ACM
quality_controlled: '1'
related_material:
record:
- id: '7164'
relation: other
status: public
status: public
title: 'Breathing Space: Spatial Mapping of Breath and Cardiac Biofeedback for Affective
State Representation and Coherence Training in Viscereality'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
urn: urn:nbn:de:hbz:bi10-71625
user_id: '220548'
year: '2026'
...
---
_id: '7165'
author:
- first_name: George
full_name: Fejer, George
last_name: Fejer
- first_name: Till
full_name: Holzapfel, Till
last_name: Holzapfel
- first_name: Taru
full_name: Hirvonen, Taru
last_name: Hirvonen
- first_name: Anestis-Pere
full_name: Lalidis Mateo, Anestis-Pere
id: '236796'
last_name: Lalidis Mateo
orcid: 0009-0002-9545-9043
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-9545-9043/work/226881558
- first_name: Johannes
full_name: Blum, Johannes
last_name: Blum
- first_name: Michael
full_name: Gaebler, Michael
last_name: Gaebler
- first_name: Bigna
full_name: Lenggenhager, Bigna
last_name: Lenggenhager
citation:
alphadin: 'Fejer, George ; Holzapfel,
Till ; Hirvonen, Taru ; Lalidis Mateo, Anestis-Pere ; Blum,
Johannes ; Gaebler, Michael
; Lenggenhager, Bigna: Viscereality:
Bioresponsive Virtual Reality for Box Breathing and Altered-State Experience :
OSF, 2026'
ama: 'Fejer G, Holzapfel T, Hirvonen T, et al. Viscereality: Bioresponsive Virtual
Reality for Box Breathing and Altered-State Experience. OSF; 2026. doi:10.17605/OSF.IO/64MWK'
apa: 'Fejer, G., Holzapfel, T., Hirvonen, T., Lalidis Mateo, A.-P., Blum, J., Gaebler,
M., & Lenggenhager, B. (2026). Viscereality: Bioresponsive Virtual Reality
for Box Breathing and Altered-State Experience. OSF. https://doi.org/10.17605/OSF.IO/64MWK'
bibtex: '@book{Fejer_Holzapfel_Hirvonen_Lalidis Mateo_Blum_Gaebler_Lenggenhager_2026,
title={Viscereality: Bioresponsive Virtual Reality for Box Breathing and Altered-State
Experience}, DOI={10.17605/OSF.IO/64MWK},
publisher={OSF}, author={Fejer, George and Holzapfel, Till and Hirvonen, Taru
and Lalidis Mateo, Anestis-Pere and Blum, Johannes and Gaebler, Michael and Lenggenhager,
Bigna}, year={2026} }'
chicago: 'Fejer, George, Till Holzapfel, Taru Hirvonen, Anestis-Pere Lalidis Mateo,
Johannes Blum, Michael Gaebler, and Bigna Lenggenhager. Viscereality: Bioresponsive
Virtual Reality for Box Breathing and Altered-State Experience. OSF, 2026.
https://doi.org/10.17605/OSF.IO/64MWK.'
ieee: 'G. Fejer et al., Viscereality: Bioresponsive Virtual Reality for
Box Breathing and Altered-State Experience. OSF, 2026.'
mla: 'Fejer, George, et al. Viscereality: Bioresponsive Virtual Reality for Box
Breathing and Altered-State Experience. OSF, 2026, doi:10.17605/OSF.IO/64MWK.'
short: 'G. Fejer, T. Holzapfel, T. Hirvonen, A.-P. Lalidis Mateo, J. Blum, M. Gaebler,
B. Lenggenhager, Viscereality: Bioresponsive Virtual Reality for Box Breathing
and Altered-State Experience, OSF, 2026.'
date_created: 2026-09-16T09:44:27Z
date_updated: 2026-09-16T09:44:45Z
department:
- _id: '102'
doi: 10.17605/OSF.IO/64MWK
project:
- _id: A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D
name: Institute for Building Intelligence
publisher: OSF
related_material:
record:
- id: '6574'
relation: earlier_version
status: public
status: public
title: 'Viscereality: Bioresponsive Virtual Reality for Box Breathing and Altered-State
Experience'
type: research_data
user_id: '236796'
year: '2026'
...
---
_id: '7155'
abstract:
- lang: ger
text: Dieser Beitrag untersucht die Potenziale von Agentic AI und Vibe Coding im
Finanz- und Rechnungswesen mittelständischer Unternehmen. Angesichts von Fachkräftemangel
und Prozessineffizienzen rücken autonome KI-Systeme und neue Programmierparadigmen
zunehmend in den Fokus. Da diese Technologien noch eine geringe Marktdurchdringung
aufweisen, nutzt die Studie sieben Large Language Models (LLMs) als exploratives
Forschungsinstrument zur systematischen Identifikation und Bewertung von Anwendungsfeldern,
Chancen und Risiken. Die Ergebnisse zeigen, dass Agentic AI als Schlüsseltechnologie
für die autonome Prozessautomatisierung fungiert, während Vibe Coding die agile
Entwicklung individueller Lösungen demokratisiert. Im Vergleich zur Vorstudie
2024/2025 zeigt sich eine signifikante technologische Konkretisierung bei gleichzeitig
gestiegenen Anforderungen an Governance und Qualitätssicherung. Die Untersuchung
unterstreicht den Wandel hin zu agentischen Architekturen und betont die Notwendigkeit
von Hybridwissen, um Effizienzgewinne mit Sicherheitsanforderungen in Einklang
zu bringen.
author:
- first_name: Andreas
full_name: Uphaus, Andreas
id: '213333'
last_name: Uphaus
- first_name: Tim
full_name: Kampe, Tim
id: '222105'
last_name: Kampe
orcid: 0000-0003-1217-1360
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-1217-1360/work/226428802
citation:
alphadin: 'Uphaus, Andreas ; Kampe, Tim: Agentic AI und Vibe Coding
im Finanz- und Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und
Familienunternehmen. In: CARF Luzern 2026 - Controlling. Accounting. Risiko.
Finanzen. Luzern, 10.-11.09., 2026'
ama: 'Uphaus A, Kampe T. Agentic AI und Vibe Coding im Finanz- und Rechnungswesen:
Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen. In: CARF
Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.
; 2026.'
apa: 'Uphaus, A., & Kampe, T. (2026). Agentic AI und Vibe Coding im Finanz-
und Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen.
In CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.
Luzern.'
bibtex: '@inproceedings{Uphaus_Kampe_2026, title={Agentic AI und Vibe Coding im
Finanz- und Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen},
booktitle={CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern,
10.-11.09.}, author={Uphaus, Andreas and Kampe, Tim}, year={2026} }'
chicago: 'Uphaus, Andreas, and Tim Kampe. “Agentic AI und Vibe Coding im Finanz-
und Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen.”
In CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.,
2026.'
ieee: 'A. Uphaus and T. Kampe, “Agentic AI und Vibe Coding im Finanz- und Rechnungswesen:
Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen,” in CARF
Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.,
Luzern, 2026.'
mla: 'Uphaus, Andreas, and Tim Kampe. “Agentic AI und Vibe Coding im Finanz- und
Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen.”
CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.,
2026.'
short: 'A. Uphaus, T. Kampe, in: CARF Luzern 2026 - Controlling. Accounting. Risiko.
Finanzen. Luzern, 10.-11.09., 2026.'
conference:
end_date: 2026-09-11
location: Luzern
name: 'CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. '
start_date: 2026-09-10
date_created: 2026-09-11T13:23:33Z
date_updated: 2026-09-16T08:45:35Z
keyword:
- Digitalisierung
- Künstliche Intelligenz
- Automatisierung
- Rechnungswesen
- Finanzwesen
language:
- iso: ger
publication: CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern,
10.-11.09.
publication_status: published
quality_controlled: '1'
status: public
title: 'Agentic AI und Vibe Coding im Finanz- und Rechnungswesen: Anwendungsfälle,
Chancen und Risiken für KMU und Familienunternehmen'
type: conference
user_id: '220548'
year: '2026'
...
---
_id: '7157'
author:
- first_name: Nadine
full_name: Schröder, Nadine
id: '260490'
last_name: Schröder
orcid: 0000-0002-7190-7510
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-7190-7510/work/226435008
- first_name: Christina
full_name: Schamp, Christina
last_name: Schamp
- first_name: Thomas
full_name: Reutterer, Thomas
last_name: Reutterer
citation:
alphadin: 'Schröder, Nadine ; Schamp, Christina ; Reutterer,
Thomas: How Shopping Clubs Work: Differential Effects of Nudges Across
the Customer Decision Journey . In: , 2026'
ama: 'Schröder N, Schamp C, Reutterer T. How Shopping Clubs Work: Differential Effects
of Nudges Across the Customer Decision Journey . In: ; 2026.'
apa: 'Schröder, N., Schamp, C., & Reutterer, T. (2026). How Shopping Clubs Work:
Differential Effects of Nudges Across the Customer Decision Journey . Presented
at the 32nd Recent Advances in Retailing and Consumer Science Conference , Berlin,
Germany.'
bibtex: '@inproceedings{Schröder_Schamp_Reutterer_2026, title={How Shopping Clubs
Work: Differential Effects of Nudges Across the Customer Decision Journey }, author={Schröder,
Nadine and Schamp, Christina and Reutterer, Thomas}, year={2026} }'
chicago: 'Schröder, Nadine, Christina Schamp, and Thomas Reutterer. “How Shopping
Clubs Work: Differential Effects of Nudges Across the Customer Decision Journey
,” 2026.'
ieee: 'N. Schröder, C. Schamp, and T. Reutterer, “How Shopping Clubs Work: Differential
Effects of Nudges Across the Customer Decision Journey ,” presented at the 32nd
Recent Advances in Retailing and Consumer Science Conference , Berlin, Germany,
2026.'
mla: 'Schröder, Nadine, et al. How Shopping Clubs Work: Differential Effects
of Nudges Across the Customer Decision Journey . 2026.'
short: 'N. Schröder, C. Schamp, T. Reutterer, in: 2026.'
conference:
end_date: 2026-07-16
location: Berlin, Germany
name: '32nd Recent Advances in Retailing and Consumer Science Conference '
start_date: 2026-07-13
date_created: 2026-09-11T14:54:52Z
date_updated: 2026-09-16T08:41:22Z
department:
- _id: 4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21
language:
- iso: eng
status: public
title: 'How Shopping Clubs Work: Differential Effects of Nudges Across the Customer
Decision Journey '
type: conference
user_id: '220548'
year: '2026'
...
---
_id: '7156'
author:
- first_name: Nadine
full_name: Schröder, Nadine
id: '260490'
last_name: Schröder
orcid: 0000-0002-7190-7510
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-7190-7510/work/226435022
- first_name: Christina
full_name: Schamp, Christina
last_name: Schamp
- first_name: Thomas
full_name: Reutterer, Thomas
last_name: Reutterer
citation:
alphadin: 'Schröder, Nadine ; Schamp, Christina ; Reutterer,
Thomas: How Shopping Clubs Work: Differential Effects of Nudges Across
the Customer Decision Journey. In: , 2026'
ama: 'Schröder N, Schamp C, Reutterer T. How Shopping Clubs Work: Differential Effects
of Nudges Across the Customer Decision Journey. In: ; 2026.'
apa: 'Schröder, N., Schamp, C., & Reutterer, T. (2026). How Shopping Clubs Work:
Differential Effects of Nudges Across the Customer Decision Journey. Presented
at the 48th ISMS Marketing Science Conference, Carcavelos, Portugal.'
bibtex: '@inproceedings{Schröder_Schamp_Reutterer_2026, title={How Shopping Clubs
Work: Differential Effects of Nudges Across the Customer Decision Journey}, author={Schröder,
Nadine and Schamp, Christina and Reutterer, Thomas}, year={2026} }'
chicago: 'Schröder, Nadine, Christina Schamp, and Thomas Reutterer. “How Shopping
Clubs Work: Differential Effects of Nudges Across the Customer Decision Journey,”
2026.'
ieee: 'N. Schröder, C. Schamp, and T. Reutterer, “How Shopping Clubs Work: Differential
Effects of Nudges Across the Customer Decision Journey,” presented at the 48th
ISMS Marketing Science Conference, Carcavelos, Portugal, 2026.'
mla: 'Schröder, Nadine, et al. How Shopping Clubs Work: Differential Effects
of Nudges Across the Customer Decision Journey. 2026.'
short: 'N. Schröder, C. Schamp, T. Reutterer, in: 2026.'
conference:
end_date: 2026-06-13
location: Carcavelos, Portugal
name: 48th ISMS Marketing Science Conference
start_date: 2026-06-11
date_created: 2026-09-11T14:51:21Z
date_updated: 2026-09-16T08:39:10Z
department:
- _id: 4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21
language:
- iso: eng
status: public
title: 'How Shopping Clubs Work: Differential Effects of Nudges Across the Customer
Decision Journey'
type: conference
user_id: '220548'
year: '2026'
...
---
_id: '7159'
abstract:
- lang: eng
text: "Background: Smart home technology powered by AI can detect anomalies and
make emergency calls, enabling residents to live safely and independently. However,
the adoption of such technologies for medical emergency detection remains limited.\r\n\r\nObjective:
This study aimed to explore consumer preferences for AI-based smart home technology
for medical emergency detection and identify predictors such as sociodemographic
variables, AI literacy, and technology affinity.\r\n\r\nMethod: A sample of 300
participants (172/300, 57.33% female; 128/300, 42.67% male, aged 18‐69 years)
completed a choice-based conjoint analysis (CBCA). Participants evaluated 15 choice
sets describing smart home variants based on cost, location, emergency detection
rate, type of sensor, and data processing.\r\n\r\nResults: Cost was the most important
attribute (relative importance [RI]=41%), followed by emergency detection rate
(RI=19%), data processing (RI=14%), and location (RI=14%). The type of sensor
was the least important attribute (RI=9%). The preferred configuration combined
an annual subscription of €70 (US $82), a 95% detection rate, wearable sensors,
personalized AI, and installation in both intimate and shared rooms. Notably,
68.3% (205/300) of participants showed a positive none utility, indicating that
even the optimal configuration did not overcome general reluctance to adopt such
systems. While most expected correlations between sociodemographic variables and
attribute importances were not observed, a significant correlation between self-reported
health status and emergency detection rate was found (r=.16, P=.007). Interestingly,
61% (167/270) of participants preferred AI over human involvement in data processing,
but logistic regression revealed that a significant correlation between self-reported
health status and emergency detection rate was found (OR=0.58, P=.04).\r\n\r\nConclusions:
These findings highlight the need to align smart home development with user preferences,
emphasizing cost-effectiveness. Additionally, AI literacy plays an important role
in technology adoption in the context of AI-based smart home technology. Further
research is needed to understand and address the reluctance to adopt AI for medical
emergency detection."
author:
- first_name: Inga
full_name: Jagemann, Inga
id: '252878'
last_name: Jagemann
orcid: 0000-0002-3468-3423
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-3468-3423/work/226873432
- first_name: Justin
full_name: Baudisch, Justin
id: '247397'
last_name: Baudisch
orcid: 0000-0001-5565-0228
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-5565-0228/work/226873433
- first_name: Thorsten
full_name: Jungeblut, Thorsten
id: '242294'
last_name: Jungeblut
orcid: 0000-0001-7425-8766
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/226873434
- first_name: Günter W
full_name: Maier, Günter W
last_name: Maier
- first_name: Gerrit
full_name: Hirschfeld, Gerrit
id: '234690'
last_name: Hirschfeld
orcid: 0000-0003-2143-4564
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-2143-4564/work/226873436
citation:
alphadin: 'Jagemann, Inga ; Baudisch, Justin ; Jungeblut,
Thorsten ; Maier, Günter W
; Hirschfeld, Gerrit: Consumer Preferences
for AI-Based Smart Home Medical Emergency Detection Among German Adults: Choice-Based
Conjoint Analysis. In: JMIR AI Bd. 5, JMIR Publications Inc. (2026), S. e94589–e94589'
ama: 'Jagemann I, Baudisch J, Jungeblut T, Maier GW, Hirschfeld G. Consumer Preferences
for AI-Based Smart Home Medical Emergency Detection Among German Adults: Choice-Based
Conjoint Analysis. JMIR AI. 2026;5:e94589-e94589. doi:10.2196/94589'
apa: 'Jagemann, I., Baudisch, J., Jungeblut, T., Maier, G. W., & Hirschfeld,
G. (2026). Consumer Preferences for AI-Based Smart Home Medical Emergency Detection
Among German Adults: Choice-Based Conjoint Analysis. JMIR AI, 5,
e94589–e94589. https://doi.org/10.2196/94589'
bibtex: '@article{Jagemann_Baudisch_Jungeblut_Maier_Hirschfeld_2026, title={Consumer
Preferences for AI-Based Smart Home Medical Emergency Detection Among German Adults:
Choice-Based Conjoint Analysis}, volume={5}, DOI={10.2196/94589},
journal={JMIR AI}, publisher={JMIR Publications Inc.}, author={Jagemann, Inga
and Baudisch, Justin and Jungeblut, Thorsten and Maier, Günter W and Hirschfeld,
Gerrit}, year={2026}, pages={e94589–e94589} }'
chicago: 'Jagemann, Inga, Justin Baudisch, Thorsten Jungeblut, Günter W Maier, and
Gerrit Hirschfeld. “Consumer Preferences for AI-Based Smart Home Medical Emergency
Detection Among German Adults: Choice-Based Conjoint Analysis.” JMIR AI
5 (2026): e94589–e94589. https://doi.org/10.2196/94589.'
ieee: 'I. Jagemann, J. Baudisch, T. Jungeblut, G. W. Maier, and G. Hirschfeld, “Consumer
Preferences for AI-Based Smart Home Medical Emergency Detection Among German Adults:
Choice-Based Conjoint Analysis,” JMIR AI, vol. 5, pp. e94589–e94589, 2026.'
mla: 'Jagemann, Inga, et al. “Consumer Preferences for AI-Based Smart Home Medical
Emergency Detection Among German Adults: Choice-Based Conjoint Analysis.” JMIR
AI, vol. 5, JMIR Publications Inc., 2026, pp. e94589–e94589, doi:10.2196/94589.'
short: I. Jagemann, J. Baudisch, T. Jungeblut, G.W. Maier, G. Hirschfeld, JMIR AI
5 (2026) e94589–e94589.
date_created: 2026-09-15T22:05:30Z
date_updated: 2026-09-16T08:20:11Z
doi: 10.2196/94589
intvolume: ' 5'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: e94589-e94589
publication: JMIR AI
publication_identifier:
eissn:
- 2817-1705
publication_status: published
publisher: JMIR Publications Inc.
status: public
title: 'Consumer Preferences for AI-Based Smart Home Medical Emergency Detection Among
German Adults: Choice-Based Conjoint Analysis'
type: journal_article
user_id: '220548'
volume: 5
year: '2026'
...
---
_id: '7146'
article_number: e70985
article_type: original
author:
- first_name: Daria
full_name: Wehlage, Daria
last_name: Wehlage
- first_name: Mia
full_name: Göcht, Mia
last_name: Göcht
- first_name: Andrea
full_name: Ehrmann, Andrea
id: '223776'
last_name: Ehrmann
orcid: 0000-0003-0695-3905
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-0695-3905/work/226097852
- first_name: Birgit
full_name: Andrée, Birgit
last_name: Andrée
citation:
alphadin: 'Wehlage, Daria ; Göcht, Mia ; Ehrmann,
Andrea ; Andrée, Birgit:
Electrospun Tubing as Shaping Material for Central Vessels in Perfusable, Vascularized
Constructs. In: MedComm Bd. 7, Wiley (2026), Nr. 9'
ama: Wehlage D, Göcht M, Ehrmann A, Andrée B. Electrospun Tubing as Shaping Material
for Central Vessels in Perfusable, Vascularized Constructs. MedComm. 2026;7(9).
doi:10.1002/mco2.70985
apa: Wehlage, D., Göcht, M., Ehrmann, A., & Andrée, B. (2026). Electrospun Tubing
as Shaping Material for Central Vessels in Perfusable, Vascularized Constructs.
MedComm, 7(9). https://doi.org/10.1002/mco2.70985
bibtex: '@article{Wehlage_Göcht_Ehrmann_Andrée_2026, title={Electrospun Tubing as
Shaping Material for Central Vessels in Perfusable, Vascularized Constructs},
volume={7}, DOI={10.1002/mco2.70985},
number={9e70985}, journal={MedComm}, publisher={Wiley}, author={Wehlage, Daria
and Göcht, Mia and Ehrmann, Andrea and Andrée, Birgit}, year={2026} }'
chicago: Wehlage, Daria, Mia Göcht, Andrea Ehrmann, and Birgit Andrée. “Electrospun
Tubing as Shaping Material for Central Vessels in Perfusable, Vascularized Constructs.”
MedComm 7, no. 9 (2026). https://doi.org/10.1002/mco2.70985.
ieee: D. Wehlage, M. Göcht, A. Ehrmann, and B. Andrée, “Electrospun Tubing as Shaping
Material for Central Vessels in Perfusable, Vascularized Constructs,” MedComm,
vol. 7, no. 9, 2026.
mla: Wehlage, Daria, et al. “Electrospun Tubing as Shaping Material for Central
Vessels in Perfusable, Vascularized Constructs.” MedComm, vol. 7, no. 9,
e70985, Wiley, 2026, doi:10.1002/mco2.70985.
short: D. Wehlage, M. Göcht, A. Ehrmann, B. Andrée, MedComm 7 (2026).
date_created: 2026-09-08T12:57:10Z
date_updated: 2026-09-11T08:38:46Z
doi: 10.1002/mco2.70985
file:
- access_level: open_access
content_type: application/pdf
creator: aehrmann
date_created: 2026-09-08T12:56:34Z
date_updated: 2026-09-08T12:56:34Z
file_id: '7147'
file_name: _2026_Wehlage_MedComm7_e70985.pdf
file_size: 1139958
relation: main_file
success: 1
file_date_updated: 2026-09-08T12:56:34Z
has_accepted_license: '1'
intvolume: ' 7'
issue: '9'
language:
- iso: eng
oa: '1'
project:
- _id: 0ec202b7-cd76-11ed-89f4-a9e1a6dbdaa7
name: Institut für Technische Energie-Systeme
publication: MedComm
publication_identifier:
eissn:
- 2688-2663
issn:
- 2688-2663
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Electrospun Tubing as Shaping Material for Central Vessels in Perfusable, Vascularized
Constructs
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
urn: urn:nbn:de:hbz:bi10-71466
user_id: '220548'
volume: 7
year: '2026'
...
---
_id: '7152'
abstract:
- lang: eng
text: "Property prediction for molecules and materials is bottlenecked by label
scarcity, and in this regime the operative failure mode is not a low mean but
an unpredictable tail: individual training runs collapse. The three dominant molecular
representations fail in complementary ways?physicochemical descriptors are exact
but fixed, graph neural networks learn topology but degenerate under sparse supervision,
and language models supply semantic context but cannot compute exact quantities?
yet combining them is itself the learning problem, because modality-level scalar
gating commits the whole model to one trust weight per source. We introduce TAME,
a tri-modal encoder whose element-wise Mixture-of-Experts router assigns an independent
modality mixture to every hidden coordinate, stabilized by a balance?entropy regularizer,
a closed-form gate initialization (? = log Ï\x84 ) that is intended to remove
router burn-in, and two-stage self-supervised graph pretraining. On scaffold-split
BACE (â\x89\x88 1.5k molecules, 100 seeds) we evaluate two fusion topologies,
each against its own graph-only control. In both, adding the text and descriptor
experts contracts the seed-to-seed distribution of the threshold-free metrics?ROC-AUC
Ï\x83 falls five-fold in the flat topology and 1.6-fold in the hierarchical one,
whose control was already the tighter of the two?and the collapse tail reaching
ROC-AUC â\x89\x88 0.45 that the weaker single-modality configurations carry is
absent from the fused models while accuracy is retained. Each comparison is matched
on everything but the fusion stage, isolating its effect. The router allocates
a distinct mixture to each coordinate, which no scalar gate can represent, and
the entropy weight moves that allocation continuously between graded mixing and
a near-binary regime in which each coordinate is claimed outright by one modality.
Fused-representation alignment tracks encoder quality without supervision, shifting
from text to topology once pretraining lifts the graph embedding out of rank-1
collapse. The same three experts map onto crystal graphs, composition?structure
descriptors and literature-mined text. These three modalities recur unchanged
across molecular and inorganic chemistry, so TAME is a single interpretable recipe
for turning volatile low-data predictors into reliable, self-explaining ones,
wherever data are scarce and every failed prediction costs a real experiment."
author:
- first_name: Robert P.
full_name: Schiller, Robert P.
last_name: Schiller
- first_name: Christoph
full_name: Weisser, Christoph
id: '264138'
last_name: Weisser
orcid: 0000-0003-0616-1027
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-0616-1027/work/226396719
- first_name: Klaus-Robert
full_name: Müller, Klaus-Robert
last_name: Müller
- first_name: Christian
full_name: Ochsenfeld, Christian
last_name: Ochsenfeld
- first_name: Parastoo
full_name: Semnani, Parastoo
last_name: Semnani
citation:
alphadin: 'Schiller, Robert P. ; Weisser, Christoph ; Müller,
Klaus-Robert ; Ochsenfeld, Christian
; Semnani, Parastoo: TAME: Element-wise
Mixture-of-Experts Fusion for Reliable and Interpretable Molecular Property Prediction,
2026'
ama: 'Schiller RP, Weisser C, Müller K-R, Ochsenfeld C, Semnani P. TAME: Element-Wise
Mixture-of-Experts Fusion for Reliable and Interpretable Molecular Property Prediction.;
2026. doi:10.26434/chemrxiv.15008270/v2'
apa: 'Schiller, R. P., Weisser, C., Müller, K.-R., Ochsenfeld, C., & Semnani,
P. (2026). TAME: Element-wise Mixture-of-Experts Fusion for Reliable and Interpretable
Molecular Property Prediction. https://doi.org/10.26434/chemrxiv.15008270/v2'
bibtex: '@book{Schiller_Weisser_Müller_Ochsenfeld_Semnani_2026, title={TAME: Element-wise
Mixture-of-Experts Fusion for Reliable and Interpretable Molecular Property Prediction},
DOI={10.26434/chemrxiv.15008270/v2},
author={Schiller, Robert P. and Weisser, Christoph and Müller, Klaus-Robert and
Ochsenfeld, Christian and Semnani, Parastoo}, year={2026} }'
chicago: 'Schiller, Robert P., Christoph Weisser, Klaus-Robert Müller, Christian
Ochsenfeld, and Parastoo Semnani. TAME: Element-Wise Mixture-of-Experts Fusion
for Reliable and Interpretable Molecular Property Prediction, 2026. https://doi.org/10.26434/chemrxiv.15008270/v2.'
ieee: 'R. P. Schiller, C. Weisser, K.-R. Müller, C. Ochsenfeld, and P. Semnani,
TAME: Element-wise Mixture-of-Experts Fusion for Reliable and Interpretable
Molecular Property Prediction. 2026.'
mla: 'Schiller, Robert P., et al. TAME: Element-Wise Mixture-of-Experts Fusion
for Reliable and Interpretable Molecular Property Prediction. 2026, doi:10.26434/chemrxiv.15008270/v2.'
short: 'R.P. Schiller, C. Weisser, K.-R. Müller, C. Ochsenfeld, P. Semnani, TAME:
Element-Wise Mixture-of-Experts Fusion for Reliable and Interpretable Molecular
Property Prediction, 2026.'
date_created: 2026-09-10T07:31:07Z
date_updated: 2026-09-11T08:11:21Z
doi: 10.26434/chemrxiv.15008270/v2
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication_status: published
status: public
title: 'TAME: Element-wise Mixture-of-Experts Fusion for Reliable and Interpretable
Molecular Property Prediction'
type: working_paper
user_id: '220548'
year: '2026'
...
---
_id: '7038'
author:
- first_name: Stephan
full_name: Nadolny, Stephan
id: '250073'
last_name: Nadolny
orcid: 0000-0002-6826-6433
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-6826-6433/work/220030920
- first_name: Marie
full_name: Grunwald, Marie
last_name: Grunwald
- first_name: Annika
full_name: Gröndahl, Annika
id: '239953'
last_name: Gröndahl
orcid: 0000-0002-8452-3890
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-8452-3890/work/220030921
- first_name: Sarah
full_name: Palmdorf, Sarah
id: '242943'
last_name: Palmdorf
orcid: 0000-0001-7804-3383
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7804-3383/work/220030922
- first_name: Karina
full_name: Ilskens, Karina
id: '245406'
last_name: Ilskens
orcid: 0000-0003-1071-5889
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-1071-5889/work/220030923
- first_name: Nina
full_name: Borchardt, Nina
last_name: Borchardt
- first_name: Annika
full_name: Maaß, Annika
last_name: Maaß
- first_name: Tessa
full_name: Schulenkorf, Tessa
id: '252937'
last_name: Schulenkorf
orcid: 0000-0001-6666-9290
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-6666-9290/work/220030924
- first_name: Stefanie
full_name: Schniering, Stefanie
last_name: Schniering
- first_name: Dariusch
full_name: Afroukhte, Dariusch
last_name: Afroukhte
- first_name: Miriam Tariba
full_name: Richter, Miriam Tariba
last_name: Richter
- first_name: Matthias
full_name: Offermanns, Matthias
last_name: Offermanns
- first_name: Ann Kathrin
full_name: Parloh, Ann Kathrin
last_name: Parloh
- first_name: Christian
full_name: Grebe, Christian
id: '216140'
last_name: Grebe
orcid: 0000-0002-1944-7422
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-1944-7422/work/220030926
- first_name: Änne-Dörte
full_name: Latteck, Änne-Dörte
id: '206662'
last_name: Latteck
citation:
alphadin: 'Nadolny,
Stephan ; Grunwald, Marie
; Gröndahl, Annika ; Palmdorf,
Sarah ; Ilskens, Karina ;
Borchardt, Nina ; Maaß,
Annika ; Schulenkorf, Tessa
; u. a.: Case management and care expertise as a prevention approach for
adults with intellectual disabilities: results of a randomized-controlled trial.
In: Preprint, Elsevier BV (2026)'
ama: 'Nadolny S, Grunwald M, Gröndahl A, et al. Case management and care expertise
as a prevention approach for adults with intellectual disabilities: results of
a randomized-controlled trial. Preprint. 2026.'
apa: 'Nadolny, S., Grunwald, M., Gröndahl, A., Palmdorf, S., Ilskens, K., Borchardt,
N., … Latteck, Ä.-D. (2026). Case management and care expertise as a prevention
approach for adults with intellectual disabilities: results of a randomized-controlled
trial. Preprint.'
bibtex: '@article{Nadolny_Grunwald_Gröndahl_Palmdorf_Ilskens_Borchardt_Maaß_Schulenkorf_Schniering_Afroukhte_et
al._2026, title={Case management and care expertise as a prevention approach for
adults with intellectual disabilities: results of a randomized-controlled trial},
journal={Preprint}, publisher={Elsevier BV}, author={Nadolny, Stephan and Grunwald,
Marie and Gröndahl, Annika and Palmdorf, Sarah and Ilskens, Karina and Borchardt,
Nina and Maaß, Annika and Schulenkorf, Tessa and Schniering, Stefanie and Afroukhte,
Dariusch and et al.}, year={2026} }'
chicago: 'Nadolny, Stephan, Marie Grunwald, Annika Gröndahl, Sarah Palmdorf, Karina
Ilskens, Nina Borchardt, Annika Maaß, et al. “Case Management and Care Expertise
as a Prevention Approach for Adults with Intellectual Disabilities: Results of
a Randomized-Controlled Trial.” Preprint, 2026.'
ieee: 'S. Nadolny et al., “Case management and care expertise as a prevention
approach for adults with intellectual disabilities: results of a randomized-controlled
trial,” Preprint, 2026.'
mla: 'Nadolny, Stephan, et al. “Case Management and Care Expertise as a Prevention
Approach for Adults with Intellectual Disabilities: Results of a Randomized-Controlled
Trial.” Preprint, Elsevier BV, 2026.'
short: S. Nadolny, M. Grunwald, A. Gröndahl, S. Palmdorf, K. Ilskens, N. Borchardt,
A. Maaß, T. Schulenkorf, S. Schniering, D. Afroukhte, M.T. Richter, M. Offermanns,
A.K. Parloh, C. Grebe, Ä.-D. Latteck, Preprint (2026).
date_created: 2026-07-08T03:02:25Z
date_updated: 2026-09-09T08:49:15Z
file:
- access_level: open_access
content_type: application/pdf
creator: snadolny1
date_created: 2026-09-09T08:49:11Z
date_updated: 2026-09-09T08:49:11Z
file_id: '7148'
file_name: ssrn-6953540.pdf
file_size: 337001
relation: main_file
success: 1
file_date_updated: 2026-09-09T08:49:11Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: Preprint
publication_status: published
publisher: Elsevier BV
status: public
title: 'Case management and care expertise as a prevention approach for adults with
intellectual disabilities: results of a randomized-controlled trial'
type: journal_article
urn: urn:nbn:de:hbz:bi10-70388
user_id: '250073'
year: '2026'
...
---
_id: '7145'
author:
- first_name: Stefan
full_name: Berlik, Stefan
id: '237529'
last_name: Berlik
orcid: 0009-0007-3242-4501
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0007-3242-4501/work/226069311
- first_name: Mohammad
full_name: Seidpisheh, Mohammad
id: '258037'
last_name: Seidpisheh
orcid: 0000-0002-2976-9206
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-2976-9206/work/226069314
citation:
alphadin: 'Berlik, Stefan ; Seidpisheh, Mohammad: Multi-stage Knowledge
Graph-Augmented LLMs for Reliable Product Configuration. In: Alam,
M.-R. ; Fathi, M. ; Pulatov, A. (Hrsg.): Integrated Systems:
AI-Augmented Engineering. Cham : Springer Nature Switzerland, 2026, S. 46–56'
ama: 'Berlik S, Seidpisheh M. Multi-stage Knowledge Graph-Augmented LLMs for Reliable
Product Configuration. In: Alam M-R, Fathi M, Pulatov A, eds. Integrated Systems:
AI-Augmented Engineering. Cham: Springer Nature Switzerland; 2026:46-56. doi:10.1007/978-3-032-21981-7_4'
apa: 'Berlik, S., & Seidpisheh, M. (2026). Multi-stage Knowledge Graph-Augmented
LLMs for Reliable Product Configuration. In M.-R. Alam, M. Fathi, & A. Pulatov
(Eds.), Integrated Systems: AI-Augmented Engineering (pp. 46–56). Cham:
Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-21981-7_4'
bibtex: '@inproceedings{Berlik_Seidpisheh_2026, place={Cham}, title={Multi-stage
Knowledge Graph-Augmented LLMs for Reliable Product Configuration}, DOI={10.1007/978-3-032-21981-7_4},
booktitle={Integrated Systems: AI-Augmented Engineering}, publisher={Springer
Nature Switzerland}, author={Berlik, Stefan and Seidpisheh, Mohammad}, editor={Alam,
Mohammad-Reza and Fathi, Madjid and Pulatov, AlimEditors}, year={2026}, pages={46–56}
}'
chicago: 'Berlik, Stefan, and Mohammad Seidpisheh. “Multi-Stage Knowledge Graph-Augmented
LLMs for Reliable Product Configuration.” In Integrated Systems: AI-Augmented
Engineering, edited by Mohammad-Reza Alam, Madjid Fathi, and Alim Pulatov,
46–56. Cham: Springer Nature Switzerland, 2026. https://doi.org/10.1007/978-3-032-21981-7_4.'
ieee: 'S. Berlik and M. Seidpisheh, “Multi-stage Knowledge Graph-Augmented LLMs
for Reliable Product Configuration,” in Integrated Systems: AI-Augmented Engineering,
Tashkent, Usbekistan, 2026, pp. 46–56.'
mla: 'Berlik, Stefan, and Mohammad Seidpisheh. “Multi-Stage Knowledge Graph-Augmented
LLMs for Reliable Product Configuration.” Integrated Systems: AI-Augmented
Engineering, edited by Mohammad-Reza Alam et al., Springer Nature Switzerland,
2026, pp. 46–56, doi:10.1007/978-3-032-21981-7_4.'
short: 'S. Berlik, M. Seidpisheh, in: M.-R. Alam, M. Fathi, A. Pulatov (Eds.), Integrated
Systems: AI-Augmented Engineering, Springer Nature Switzerland, Cham, 2026, pp.
46–56.'
conference:
end_date: 2025-05-15
location: Tashkent, Usbekistan
name: 9th International Conference on Integrated Systems Design and Technology (ISDT
2025)
start_date: 2025-05-13
date_created: 2026-09-07T17:05:30Z
date_updated: 2026-09-08T08:49:50Z
doi: 10.1007/978-3-032-21981-7_4
editor:
- first_name: Mohammad-Reza
full_name: Alam, Mohammad-Reza
last_name: Alam
- first_name: Madjid
full_name: Fathi, Madjid
last_name: Fathi
- first_name: Alim
full_name: Pulatov, Alim
last_name: Pulatov
language:
- iso: eng
page: 46-56
place: Cham
publication: 'Integrated Systems: AI-Augmented Engineering'
publication_identifier:
eisbn:
- 978-3-032-21981-7
isbn:
- 978-3-032-21980-0
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Multi-stage Knowledge Graph-Augmented LLMs for Reliable Product Configuration
type: conference
user_id: '220548'
year: '2026'
...
---
_id: '7144'
abstract:
- lang: eng
text: 'The increasing complexity of product configurations demands intelligent systems
that effectively integrate customer requirements, dependencies, and uncertainties.
This paper introduces a unified framework combining Knowledge Graphs (KGs) and
Bayesian Networks (BNs) to enhance the efficiency and adaptability of product
configuration processes. KGs provide a semantic foundation for product information,
ensuring interoperability and explicit relationship modeling. BNs enhance this
through probabilistic reasoning, allowing the system to manage uncertainties and
dynamically generate optimal configurations. The integration of deterministic,
rule-based reasoning from ontologies with the probabilistic nature of BNs automates
suggestions, predicts user preferences, and reduces complexity. This framework
streamlines user interactions through intelligent form pre-filling and contextually
relevant suggestions, even under uncertainty. By employing an ontology-based representation
of BNs, the components fit seamlessly into the KG, creating a cohesive and unified
framework that balances scalability and user-centric design to address modern
configuration challenges. '
author:
- first_name: Stefan
full_name: Berlik, Stefan
id: '237529'
last_name: Berlik
orcid: 0009-0007-3242-4501
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0007-3242-4501/work/226068666
- first_name: Mohammad
full_name: Seidpisheh, Mohammad
id: '258037'
last_name: Seidpisheh
orcid: 0000-0002-2976-9206
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-2976-9206/work/226068667
citation:
alphadin: 'Berlik, Stefan ; Seidpisheh, Mohammad: A Unified Framework
for Intelligent Product Configuration Using Knowledge Graphs and Bayesian Networks.
In: Manns, M. (Hrsg.): New Paradigms
for Anticipated Uncertainty. Proceedings of the 10th Changeable, Agile, Reconfigurable
and Virtual Production Conference (CARV 2025) and the 12th World Mass Customization
and Personalization Conference (MCPC 2025), Siegen, Germany, September 2025,
Lecture Notes in Mechanical Engineering. Cham : Springer Nature Switzerland,
2026, S. 131–141'
ama: 'Berlik S, Seidpisheh M. A Unified Framework for Intelligent Product Configuration
Using Knowledge Graphs and Bayesian Networks. In: Manns M, ed. New Paradigms
for Anticipated Uncertainty. Proceedings of the 10th Changeable, Agile, Reconfigurable
and Virtual Production Conference (CARV 2025) and the 12th World Mass Customization
and Personalization Conference (MCPC 2025), Siegen, Germany, September 2025.
Lecture Notes in Mechanical Engineering. Cham: Springer Nature Switzerland; 2026:131-141.
doi:10.1007/978-3-032-16889-4_13'
apa: 'Berlik, S., & Seidpisheh, M. (2026). A Unified Framework for Intelligent
Product Configuration Using Knowledge Graphs and Bayesian Networks. In M. Manns
(Ed.), New Paradigms for Anticipated Uncertainty. Proceedings of the 10th Changeable,
Agile, Reconfigurable and Virtual Production Conference (CARV 2025) and the 12th
World Mass Customization and Personalization Conference (MCPC 2025), Siegen, Germany,
September 2025 (pp. 131–141). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-16889-4_13'
bibtex: '@inproceedings{Berlik_Seidpisheh_2026, place={Cham}, series={Lecture Notes
in Mechanical Engineering}, title={A Unified Framework for Intelligent Product
Configuration Using Knowledge Graphs and Bayesian Networks}, DOI={10.1007/978-3-032-16889-4_13},
booktitle={New Paradigms for Anticipated Uncertainty. Proceedings of the 10th
Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV 2025)
and the 12th World Mass Customization and Personalization Conference (MCPC 2025),
Siegen, Germany, September 2025}, publisher={Springer Nature Switzerland}, author={Berlik,
Stefan and Seidpisheh, Mohammad}, editor={Manns, MartinEditor}, year={2026}, pages={131–141},
collection={Lecture Notes in Mechanical Engineering} }'
chicago: 'Berlik, Stefan, and Mohammad Seidpisheh. “A Unified Framework for Intelligent
Product Configuration Using Knowledge Graphs and Bayesian Networks.” In New
Paradigms for Anticipated Uncertainty. Proceedings of the 10th Changeable, Agile,
Reconfigurable and Virtual Production Conference (CARV 2025) and the 12th World
Mass Customization and Personalization Conference (MCPC 2025), Siegen, Germany,
September 2025, edited by Martin Manns, 131–41. Lecture Notes in Mechanical
Engineering. Cham: Springer Nature Switzerland, 2026. https://doi.org/10.1007/978-3-032-16889-4_13.'
ieee: S. Berlik and M. Seidpisheh, “A Unified Framework for Intelligent Product
Configuration Using Knowledge Graphs and Bayesian Networks,” in New Paradigms
for Anticipated Uncertainty. Proceedings of the 10th Changeable, Agile, Reconfigurable
and Virtual Production Conference (CARV 2025) and the 12th World Mass Customization
and Personalization Conference (MCPC 2025), Siegen, Germany, September 2025,
Siegen, 2026, pp. 131–141.
mla: Berlik, Stefan, and Mohammad Seidpisheh. “A Unified Framework for Intelligent
Product Configuration Using Knowledge Graphs and Bayesian Networks.” New Paradigms
for Anticipated Uncertainty. Proceedings of the 10th Changeable, Agile, Reconfigurable
and Virtual Production Conference (CARV 2025) and the 12th World Mass Customization
and Personalization Conference (MCPC 2025), Siegen, Germany, September 2025,
edited by Martin Manns, Springer Nature Switzerland, 2026, pp. 131–41, doi:10.1007/978-3-032-16889-4_13.
short: 'S. Berlik, M. Seidpisheh, in: M. Manns (Ed.), New Paradigms for Anticipated
Uncertainty. Proceedings of the 10th Changeable, Agile, Reconfigurable and Virtual
Production Conference (CARV 2025) and the 12th World Mass Customization and Personalization
Conference (MCPC 2025), Siegen, Germany, September 2025, Springer Nature Switzerland,
Cham, 2026, pp. 131–141.'
conference:
end_date: 2025-09-12
location: Siegen
name: 10th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV
2025) and the 12th World Mass Customization and Personalization Conference (MCPC
2025)
start_date: 2025-09-09
date_created: 2026-09-07T17:05:29Z
date_updated: 2026-09-08T08:45:48Z
doi: 10.1007/978-3-032-16889-4_13
editor:
- first_name: Martin
full_name: Manns, Martin
last_name: Manns
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 131-141
place: Cham
publication: New Paradigms for Anticipated Uncertainty. Proceedings of the 10th Changeable,
Agile, Reconfigurable and Virtual Production Conference (CARV 2025) and the 12th
World Mass Customization and Personalization Conference (MCPC 2025), Siegen, Germany,
September 2025
publication_identifier:
eisbn:
- 978-3-032-16889-4
eissn:
- 2195-4364
isbn:
- 978-3-032-16888-7
issn:
- 2195-4356
publication_status: published
publisher: Springer Nature Switzerland
series_title: Lecture Notes in Mechanical Engineering
status: public
title: A Unified Framework for Intelligent Product Configuration Using Knowledge Graphs
and Bayesian Networks
type: conference
user_id: '220548'
year: '2026'
...