[{"publication":"9th Iberian Robotics Conference (ROBOT) ","citation":{"mla":"Mayer, Patrick Thomas, and Jan Rexilius. “Adapting to Variable Active-Joint Configurations via Kinematics-Informed Attention for Robot Arms.” <i>9th Iberian Robotics Conference (ROBOT) </i>.","ama":"Mayer PT, Rexilius J. Adapting to Variable Active-Joint Configurations via Kinematics-Informed Attention for Robot Arms. In: <i>9th Iberian Robotics Conference (ROBOT) </i>.","apa":"Mayer, P. T., &#38; Rexilius, J. (n.d.). Adapting to Variable Active-Joint Configurations via Kinematics-Informed Attention for Robot Arms. In <i>9th Iberian Robotics Conference (ROBOT) </i>. Barcelona.","bibtex":"@inproceedings{Mayer_Rexilius, title={Adapting to Variable Active-Joint Configurations via Kinematics-Informed Attention for Robot Arms}, booktitle={9th Iberian Robotics Conference (ROBOT) }, author={Mayer, Patrick Thomas and Rexilius, Jan} }","ieee":"P. T. Mayer and J. Rexilius, “Adapting to Variable Active-Joint Configurations via Kinematics-Informed Attention for Robot Arms,” in <i>9th Iberian Robotics Conference (ROBOT) </i>, Barcelona.","short":"P.T. Mayer, J. Rexilius, in: 9th Iberian Robotics Conference (ROBOT) , n.d.","alphadin":"<span style=\"font-variant:small-caps;\">Mayer, Patrick Thomas</span> ; <span style=\"font-variant:small-caps;\">Rexilius, Jan</span>: Adapting to Variable Active-Joint Configurations via Kinematics-Informed Attention for Robot Arms. In: <i>9th Iberian Robotics Conference (ROBOT) </i>","chicago":"Mayer, Patrick Thomas, and Jan Rexilius. “Adapting to Variable Active-Joint Configurations via Kinematics-Informed Attention for Robot Arms.” In <i>9th Iberian Robotics Conference (ROBOT) </i>, n.d."},"type":"conference","publication_status":"accepted","user_id":"244831","title":"Adapting to Variable Active-Joint Configurations via Kinematics-Informed Attention for Robot Arms","department":[{"_id":"102"}],"author":[{"full_name":"Mayer, Patrick Thomas","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-6800-1273/work/227375532","last_name":"Mayer","id":"244831","first_name":"Patrick Thomas","orcid":"0009-0009-6800-1273"},{"orcid":"0000-0002-4579-214X","full_name":"Rexilius, Jan","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-4579-214X/work/227375533","first_name":"Jan","id":"245736","last_name":"Rexilius"}],"language":[{"iso":"eng"}],"date_created":"2026-09-21T16:34:09Z","abstract":[{"text":"Deep reinforcement learning (RL) policies for robotic control are typically trained for a single hardware configuration. When a joint locks, the learned mapping no longer matches the available actuation. This paper investigates whether combining self-attention with explicit kinematic observations can improve a policy’s adaptability to varying active-joint configurations. We train a single RL agent to control a Franka Emika Panda manipulator across different sets of active joints, from a restricted 4-degree-of-freedom (DOF) mode to the fully redundant 7-DOF configuration. Instead of fixed-length state vectors, the method processes the active joints as a variable-length sequence, enriching each joint’s representation with its relative spatial offset and geometric Jacobian influence. The proposed kinematics-informed attention architecture reaches a success rate of 82.1% across trained configurations and 66.6% on unseen configurations, outperforming multilayer perceptron and generic attention baselines while remaining nearly collision-free. Deployed on a physical Panda, the simulation-trained agent reaches 79.0% success on the unseen configurations, closely matching the simulation on the same target schedule (77.0%).","lang":"eng"}],"quality_controlled":"1","keyword":["Reinforcement Learning","Robotic Manipulation","Kinematic Adaptation","Sim-to-Real Transfer"],"_id":"7175","conference":{"end_date":"2026-11-20","location":"Barcelona","start_date":"2026-11-18","name":"9th Iberian Robotics Conference (ROBOT) "},"project":[{"name":"Institute for Building Intelligence","_id":"A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D"}],"status":"public","year":"2026","date_updated":"2026-10-21T09:44:11Z"},{"publication":"26th International Conference on Control, Automation and Systems (ICCAS)","citation":{"ama":"Mayer PT, Rexilius J. A Hybrid Control Framework Using Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer. In: <i>26th International Conference on Control, Automation and Systems (ICCAS)</i>.","mla":"Mayer, Patrick Thomas, and Jan Rexilius. “A Hybrid Control Framework Using Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer.” <i>26th International Conference on Control, Automation and Systems (ICCAS)</i>.","apa":"Mayer, P. T., &#38; Rexilius, J. (n.d.). A Hybrid Control Framework Using Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer. In <i>26th International Conference on Control, Automation and Systems (ICCAS)</i>. Sapporo.","bibtex":"@inproceedings{Mayer_Rexilius, title={A Hybrid Control Framework Using Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer}, booktitle={26th International Conference on Control, Automation and Systems (ICCAS)}, author={Mayer, Patrick Thomas and Rexilius, Jan} }","ieee":"P. T. Mayer and J. Rexilius, “A Hybrid Control Framework Using Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer,” in <i>26th International Conference on Control, Automation and Systems (ICCAS)</i>, Sapporo.","short":"P.T. Mayer, J. Rexilius, in: 26th International Conference on Control, Automation and Systems (ICCAS), n.d.","alphadin":"<span style=\"font-variant:small-caps;\">Mayer, Patrick Thomas</span> ; <span style=\"font-variant:small-caps;\">Rexilius, Jan</span>: A Hybrid Control Framework Using Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer. In: <i>26th International Conference on Control, Automation and Systems (ICCAS)</i>","chicago":"Mayer, Patrick Thomas, and Jan Rexilius. “A Hybrid Control Framework Using Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer.” In <i>26th International Conference on Control, Automation and Systems (ICCAS)</i>, n.d."},"publication_status":"accepted","type":"conference","author":[{"orcid":"0009-0009-6800-1273","first_name":"Patrick Thomas","id":"244831","last_name":"Mayer","full_name":"Mayer, Patrick Thomas","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-6800-1273/work/227375528"},{"first_name":"Jan","id":"245736","last_name":"Rexilius","full_name":"Rexilius, Jan","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-4579-214X/work/227375529","orcid":"0000-0002-4579-214X"}],"department":[{"_id":"102"}],"user_id":"244831","title":"A Hybrid Control Framework Using Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer","date_created":"2026-09-21T16:30:06Z","language":[{"iso":"eng"}],"quality_controlled":"1","abstract":[{"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.","lang":"eng"}],"keyword":["Reinforcement Learning","Hybrid Control","Sim-to-Real","Robotic Manipulation","Inverse Kinematics."],"_id":"7174","conference":{"end_date":"2026-10-30","start_date":"2026-10-27","location":"Sapporo","name":"26th International Conference on Control, Automation and Systems (ICCAS)"},"status":"public","project":[{"_id":"A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D","name":"Institute for Building Intelligence"}],"year":"2026","date_updated":"2026-10-21T09:43:36Z"},{"date_created":"2026-06-03T09:06:55Z","language":[{"iso":"eng"}],"quality_controlled":"1","type":"conference","title":"Multi-Perspective AR Interaction Through Robot Viewpoint Control","author":[{"last_name":"Riechmann-Thom","first_name":"Malte","id":"229000","full_name":"Riechmann-Thom, Malte"},{"last_name":"Rexilius","id":"245736","first_name":"Jan","full_name":"Rexilius, Jan","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-4579-214X/work/216598627","orcid":"0000-0002-4579-214X"}],"user_id":"229000","publication":"IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","citation":{"short":"M. Riechmann-Thom, J. Rexilius, in: IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2026.","ieee":"M. Riechmann-Thom and J. Rexilius, “Multi-Perspective AR Interaction Through Robot Viewpoint Control,” in <i>IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)</i>, Kitakyushu, 2026.","bibtex":"@inproceedings{Riechmann-Thom_Rexilius_2026, title={Multi-Perspective AR Interaction Through Robot Viewpoint Control}, DOI={<a href=\"https://doi.org/10.1109/RO-MAN72286.2026.11715012\">10.1109/RO-MAN72286.2026.11715012</a>}, booktitle={IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)}, author={Riechmann-Thom, Malte and Rexilius, Jan}, year={2026} }","chicago":"Riechmann-Thom, Malte, and Jan Rexilius. “Multi-Perspective AR Interaction Through Robot Viewpoint Control.” In <i>IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)</i>, 2026. <a href=\"https://doi.org/10.1109/RO-MAN72286.2026.11715012\">https://doi.org/10.1109/RO-MAN72286.2026.11715012</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Riechmann-Thom, Malte</span> ; <span style=\"font-variant:small-caps;\">Rexilius, Jan</span>: Multi-Perspective AR Interaction Through Robot Viewpoint Control. In: <i>IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)</i>, 2026","mla":"Riechmann-Thom, Malte, and Jan Rexilius. “Multi-Perspective AR Interaction Through Robot Viewpoint Control.” <i>IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)</i>, 2026, doi:<a href=\"https://doi.org/10.1109/RO-MAN72286.2026.11715012\">10.1109/RO-MAN72286.2026.11715012</a>.","ama":"Riechmann-Thom M, Rexilius J. Multi-Perspective AR Interaction Through Robot Viewpoint Control. In: <i>IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)</i>. ; 2026. doi:<a href=\"https://doi.org/10.1109/RO-MAN72286.2026.11715012\">10.1109/RO-MAN72286.2026.11715012</a>","apa":"Riechmann-Thom, M., &#38; Rexilius, J. (2026). Multi-Perspective AR Interaction Through Robot Viewpoint Control. In <i>IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)</i>. Kitakyushu. <a href=\"https://doi.org/10.1109/RO-MAN72286.2026.11715012\">https://doi.org/10.1109/RO-MAN72286.2026.11715012</a>"},"year":"2026","date_updated":"2026-10-15T07:33:11Z","status":"public","doi":"10.1109/RO-MAN72286.2026.11715012","project":[{"_id":"A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D","name":"Institute for Building Intelligence"}],"conference":{"name":"IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","start_date":"2026-08-24","location":"Kitakyushu","end_date":"2026-08-28"},"_id":"6982"},{"keyword":["MAV navigation","Reinforcement learning","Constrained navigation","Control barrier functions"],"quality_controlled":"1","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."}],"date_created":"2026-09-21T14:31:38Z","language":[{"iso":"eng"}],"author":[{"first_name":"André","id":"229807","last_name":"Kirsch","full_name":"Kirsch, André"},{"orcid":"0000-0002-4579-214X","last_name":"Rexilius","id":"245736","first_name":"Jan","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-4579-214X/work/227345663","full_name":"Rexilius, Jan"}],"title":"Reinforcement Learning-based MAV Navigation With Parameterized Waypoints: Incorporating Orientation, Speed Limits, and Corridor Constraints","user_id":"220548","publication_status":"accepted","type":"conference","citation":{"short":"A. Kirsch, J. Rexilius, in: 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.","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.","alphadin":"<span style=\"font-variant:small-caps;\">Kirsch, André</span> ; <span style=\"font-variant:small-caps;\">Rexilius, Jan</span>: 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.","mla":"Kirsch, André, and Jan Rexilius. <i>Reinforcement Learning-Based MAV Navigation With Parameterized Waypoints: Incorporating Orientation, Speed Limits, and Corridor Constraints</i>.","apa":"Kirsch, A., &#38; 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."},"date_updated":"2026-09-24T12:22:54Z","year":"2026","status":"public","project":[{"_id":"A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D","name":"Institute for Building Intelligence"}],"conference":{"end_date":"2026-11-20","start_date":"2026-11-18","location":"Barcelona","name":"9th Iberian Robotics Conference (ROBOT)"},"_id":"7173"},{"quality_controlled":"1","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/11539031"}],"date_created":"2026-03-06T12:30:43Z","related_material":{"record":[{"status":"public","relation":"other","id":"6993"}]},"keyword":["Waste monitoring","Waste level estimation","MAV navigation"],"citation":{"apa":"Kirsch, A., &#38; Rexilius, J. (2026). Vision-Based Autonomous Waste Bin Fill-Level Monitoring with a Micro Aerial Vehicle. Presented at the 22nd International Conference on Intelligent Environments (IE), Lissabon, Portugal. <a href=\"https://doi.org/10.1109/IE69249.2026.11539031\">https://doi.org/10.1109/IE69249.2026.11539031</a>","ama":"Kirsch A, Rexilius J. Vision-Based Autonomous Waste Bin Fill-Level Monitoring with a Micro Aerial Vehicle. In: ; 2026. doi:<a href=\"https://doi.org/10.1109/IE69249.2026.11539031\">10.1109/IE69249.2026.11539031</a>","mla":"Kirsch, André, and Jan Rexilius. <i>Vision-Based Autonomous Waste Bin Fill-Level Monitoring with a Micro Aerial Vehicle</i>. 2026, doi:<a href=\"https://doi.org/10.1109/IE69249.2026.11539031\">10.1109/IE69249.2026.11539031</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Kirsch, André</span> ; <span style=\"font-variant:small-caps;\">Rexilius, Jan</span>: Vision-Based Autonomous Waste Bin Fill-Level Monitoring with a Micro Aerial Vehicle. In: , 2026","chicago":"Kirsch, André, and Jan Rexilius. “Vision-Based Autonomous Waste Bin Fill-Level Monitoring with a Micro Aerial Vehicle,” 2026. <a href=\"https://doi.org/10.1109/IE69249.2026.11539031\">https://doi.org/10.1109/IE69249.2026.11539031</a>.","bibtex":"@inproceedings{Kirsch_Rexilius_2026, title={Vision-Based Autonomous Waste Bin Fill-Level Monitoring with a Micro Aerial Vehicle}, DOI={<a href=\"https://doi.org/10.1109/IE69249.2026.11539031\">10.1109/IE69249.2026.11539031</a>}, author={Kirsch, André and Rexilius, Jan}, year={2026} }","ieee":"A. Kirsch and J. Rexilius, “Vision-Based Autonomous Waste Bin Fill-Level Monitoring with a Micro Aerial Vehicle,” presented at the 22nd International Conference on Intelligent Environments (IE), Lissabon, Portugal, 2026.","short":"A. Kirsch, J. Rexilius, in: 2026."},"user_id":"220548","author":[{"full_name":"Kirsch, André","last_name":"Kirsch","id":"229807","first_name":"André"},{"orcid":"0000-0002-4579-214X","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-4579-214X/work/208820721","full_name":"Rexilius, Jan","last_name":"Rexilius","first_name":"Jan","id":"245736"}],"title":"Vision-Based Autonomous Waste Bin Fill-Level Monitoring with a Micro Aerial Vehicle","department":[{"_id":"102"}],"type":"conference","publication_status":"published","doi":"10.1109/IE69249.2026.11539031","project":[{"name":"Institute for Building Intelligence","_id":"A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D"}],"status":"public","date_updated":"2026-06-23T06:50:04Z","year":"2026","_id":"6790","conference":{"location":"Lissabon, Portugal","start_date":"2026-06-15","end_date":"2026-06-18","name":"22nd International Conference on Intelligent Environments (IE)"}},{"project":[{"_id":"A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D","name":"Institute for Building Intelligence"}],"status":"public","date_created":"2026-06-16T10:10:28Z","related_material":{"record":[{"id":"6790","relation":"other","status":"public"}],"link":[{"url":"https://huggingface.co/datasets/akirsch1/waste-bin-dataset","relation":"research_data"}]},"date_updated":"2026-06-23T06:50:04Z","publisher":"Hochschule Bielefeld","year":"2026","citation":{"mla":"Kirsch, André, and Jan Rexilius. <i>Waste Bin Dataset </i>. Hochschule Bielefeld, 2026.","ama":"Kirsch A, Rexilius J. <i>Waste Bin Dataset </i>. Hochschule Bielefeld; 2026.","apa":"Kirsch, A., &#38; Rexilius, J. (2026). <i>Waste Bin Dataset </i>. Hochschule Bielefeld.","short":"A. Kirsch, J. Rexilius, Waste Bin Dataset , Hochschule Bielefeld, 2026.","bibtex":"@book{Kirsch_Rexilius_2026, title={Waste Bin Dataset }, publisher={Hochschule Bielefeld}, author={Kirsch, André and Rexilius, Jan}, year={2026} }","ieee":"A. Kirsch and J. Rexilius, <i>Waste Bin Dataset </i>. Hochschule Bielefeld, 2026.","alphadin":"<span style=\"font-variant:small-caps;\">Kirsch, André</span> ; <span style=\"font-variant:small-caps;\">Rexilius, Jan</span>: <i>Waste Bin Dataset </i> : Hochschule Bielefeld, 2026","chicago":"Kirsch, André, and Jan Rexilius. <i>Waste Bin Dataset </i>. Hochschule Bielefeld, 2026."},"_id":"6993","author":[{"id":"229807","first_name":"André","last_name":"Kirsch","full_name":"Kirsch, André"},{"orcid":"0000-0002-4579-214X","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-4579-214X/work/217902787","full_name":"Rexilius, Jan","last_name":"Rexilius","first_name":"Jan","id":"245736"}],"user_id":"220548","title":"Waste Bin Dataset ","type":"research_data"},{"_id":"6185","conference":{"name":"IEEE International Symposium on Mixed and Augmented Reality (ISMAR)","location":"Daejeon, South Korea","start_date":"2025-10-08","end_date":"2025-10-12"},"doi":"10.1109/ISMAR-Adjunct68609.2025.00145","project":[{"_id":"A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D","name":"Institute for Building Intelligence"}],"status":"public","year":"2025","date_updated":"2026-06-10T07:59:57Z","publication":"IEEE International Symposium on Mixed and Augmented Reality (ISMAR)","citation":{"apa":"Riechmann-Thom, M., &#38; Rexilius, J. (2025). Visualizing Motion Intent in Heterogeneous Multi-Robot Environments. In <i>IEEE International Symposium on Mixed and Augmented Reality (ISMAR)</i>. Daejeon, South Korea. <a href=\"https://doi.org/10.1109/ISMAR-Adjunct68609.2025.00145\">https://doi.org/10.1109/ISMAR-Adjunct68609.2025.00145</a>","ama":"Riechmann-Thom M, Rexilius J. Visualizing Motion Intent in Heterogeneous Multi-Robot Environments. In: <i>IEEE International Symposium on Mixed and Augmented Reality (ISMAR)</i>. ; 2025. doi:<a href=\"https://doi.org/10.1109/ISMAR-Adjunct68609.2025.00145\">10.1109/ISMAR-Adjunct68609.2025.00145</a>","mla":"Riechmann-Thom, Malte, and Jan Rexilius. “Visualizing Motion Intent in Heterogeneous Multi-Robot Environments.” <i>IEEE International Symposium on Mixed and Augmented Reality (ISMAR)</i>, 2025, doi:<a href=\"https://doi.org/10.1109/ISMAR-Adjunct68609.2025.00145\">10.1109/ISMAR-Adjunct68609.2025.00145</a>.","chicago":"Riechmann-Thom, Malte, and Jan Rexilius. “Visualizing Motion Intent in Heterogeneous Multi-Robot Environments.” In <i>IEEE International Symposium on Mixed and Augmented Reality (ISMAR)</i>, 2025. <a href=\"https://doi.org/10.1109/ISMAR-Adjunct68609.2025.00145\">https://doi.org/10.1109/ISMAR-Adjunct68609.2025.00145</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Riechmann-Thom, Malte</span> ; <span style=\"font-variant:small-caps;\">Rexilius, Jan</span>: Visualizing Motion Intent in Heterogeneous Multi-Robot Environments. In: <i>IEEE International Symposium on Mixed and Augmented Reality (ISMAR)</i>, 2025","short":"M. Riechmann-Thom, J. Rexilius, in: IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2025.","ieee":"M. Riechmann-Thom and J. Rexilius, “Visualizing Motion Intent in Heterogeneous Multi-Robot Environments,” in <i>IEEE International Symposium on Mixed and Augmented Reality (ISMAR)</i>, Daejeon, South Korea, 2025.","bibtex":"@inproceedings{Riechmann-Thom_Rexilius_2025, title={Visualizing Motion Intent in Heterogeneous Multi-Robot Environments}, DOI={<a href=\"https://doi.org/10.1109/ISMAR-Adjunct68609.2025.00145\">10.1109/ISMAR-Adjunct68609.2025.00145</a>}, booktitle={IEEE International Symposium on Mixed and Augmented Reality (ISMAR)}, author={Riechmann-Thom, Malte and Rexilius, Jan}, year={2025} }"},"type":"conference","title":"Visualizing Motion Intent in Heterogeneous Multi-Robot Environments","user_id":"229000","author":[{"last_name":"Riechmann-Thom","first_name":"Malte","id":"229000","full_name":"Riechmann-Thom, Malte"},{"orcid":"0000-0002-4579-214X","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-4579-214X/work/191981952","full_name":"Rexilius, Jan","last_name":"Rexilius","id":"245736","first_name":"Jan"}],"language":[{"iso":"eng"}],"date_created":"2025-09-16T09:43:28Z","quality_controlled":"1"},{"urn":"urn:nbn:de:hbz:bi10-60270","_id":"6027","publication_identifier":{"issn":["2943-3509"]},"conference":{"location":"Bielefeld","start_date":"2025-06-03","end_date":"2025-06-03","name":"KI-Kongress"},"status":"public","project":[{"_id":"A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D","name":"Institute for Building Intelligence"}],"has_accepted_license":"1","date_updated":"2026-04-01T18:58:58Z","oa":"1","year":"2025","publisher":"Schriftenreihe des Institus for Data Science Solutions","citation":{"short":"L. Deutsch, M. König, J. Rexilius, in: KI-Kongress , Schriftenreihe des Institus for Data Science Solutions, n.d.","ieee":"L. Deutsch, M. König, and J. Rexilius, “A State-Aware Ant Colony Optimization Approach to the Roll-on/Roll-off Problem for Skip Loaders,” in <i>KI-Kongress </i>, Bielefeld.","bibtex":"@inproceedings{Deutsch_König_Rexilius, title={A State-Aware Ant Colony Optimization Approach to the Roll-on/Roll-off Problem for Skip Loaders}, booktitle={KI-Kongress }, publisher={Schriftenreihe des Institus for Data Science Solutions}, author={Deutsch, Luis and König, Matthias and Rexilius, Jan} }","chicago":"Deutsch, Luis, Matthias König, and Jan Rexilius. “A State-Aware Ant Colony Optimization Approach to the Roll-on/Roll-off Problem for Skip Loaders.” In <i>KI-Kongress </i>. 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