---
_id: '6318'
author:
- first_name: Akim
  full_name: Kapsalyamov, Akim
  id: '257451'
  last_name: Kapsalyamov
  orcid: 0000-0003-3700-6214
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-3700-6214/work/197759383
- first_name: Nicholas A. T.
  full_name: Brown, Nicholas A. T.
  last_name: Brown
- first_name: Roland
  full_name: Goecke, Roland
  last_name: Goecke
- first_name: Prashant K.
  full_name: Jamwal, Prashant K.
  last_name: Jamwal
- first_name: Shahid
  full_name: Hussain, Shahid
  last_name: Hussain
citation:
  alphadin: '<span style="font-variant:small-caps;">Kapsalyamov, Akim</span> ; <span
    style="font-variant:small-caps;">Brown, Nicholas A. T.</span> ; <span style="font-variant:small-caps;">Goecke,
    Roland</span> ; <span style="font-variant:small-caps;">Jamwal, Prashant K.</span>
    ; <span style="font-variant:small-caps;">Hussain, Shahid</span>: Velocity control
    of a Stephenson III six-bar linkage-based gait rehabilitation robot using deep
    reinforcement learning. In: <i>Neural Computing and Applications</i> Bd. 37, Springer
    Science and Business Media LLC (2025), Nr. 7, S. 5671–5682'
  ama: Kapsalyamov A, Brown NAT, Goecke R, Jamwal PK, Hussain S. Velocity control
    of a Stephenson III six-bar linkage-based gait rehabilitation robot using deep
    reinforcement learning. <i>Neural Computing and Applications</i>. 2025;37(7):5671-5682.
    doi:<a href="https://doi.org/10.1007/s00521-024-10944-2">10.1007/s00521-024-10944-2</a>
  apa: Kapsalyamov, A., Brown, N. A. T., Goecke, R., Jamwal, P. K., &#38; Hussain,
    S. (2025). Velocity control of a Stephenson III six-bar linkage-based gait rehabilitation
    robot using deep reinforcement learning. <i>Neural Computing and Applications</i>,
    <i>37</i>(7), 5671–5682. <a href="https://doi.org/10.1007/s00521-024-10944-2">https://doi.org/10.1007/s00521-024-10944-2</a>
  bibtex: '@article{Kapsalyamov_Brown_Goecke_Jamwal_Hussain_2025, title={Velocity
    control of a Stephenson III six-bar linkage-based gait rehabilitation robot using
    deep reinforcement learning}, volume={37}, DOI={<a href="https://doi.org/10.1007/s00521-024-10944-2">10.1007/s00521-024-10944-2</a>},
    number={7}, journal={Neural Computing and Applications}, publisher={Springer Science
    and Business Media LLC}, author={Kapsalyamov, Akim and Brown, Nicholas A. T. and
    Goecke, Roland and Jamwal, Prashant K. and Hussain, Shahid}, year={2025}, pages={5671–5682}
    }'
  chicago: 'Kapsalyamov, Akim, Nicholas A. T. Brown, Roland Goecke, Prashant K. Jamwal,
    and Shahid Hussain. “Velocity Control of a Stephenson III Six-Bar Linkage-Based
    Gait Rehabilitation Robot Using Deep Reinforcement Learning.” <i>Neural Computing
    and Applications</i> 37, no. 7 (2025): 5671–82. <a href="https://doi.org/10.1007/s00521-024-10944-2">https://doi.org/10.1007/s00521-024-10944-2</a>.'
  ieee: A. Kapsalyamov, N. A. T. Brown, R. Goecke, P. K. Jamwal, and S. Hussain, “Velocity
    control of a Stephenson III six-bar linkage-based gait rehabilitation robot using
    deep reinforcement learning,” <i>Neural Computing and Applications</i>, vol. 37,
    no. 7, pp. 5671–5682, 2025.
  mla: Kapsalyamov, Akim, et al. “Velocity Control of a Stephenson III Six-Bar Linkage-Based
    Gait Rehabilitation Robot Using Deep Reinforcement Learning.” <i>Neural Computing
    and Applications</i>, vol. 37, no. 7, Springer Science and Business Media LLC,
    2025, pp. 5671–82, doi:<a href="https://doi.org/10.1007/s00521-024-10944-2">10.1007/s00521-024-10944-2</a>.
  short: A. Kapsalyamov, N.A.T. Brown, R. Goecke, P.K. Jamwal, S. Hussain, Neural
    Computing and Applications 37 (2025) 5671–5682.
date_created: 2025-11-24T10:25:18Z
date_updated: 2026-03-17T15:29:29Z
doi: 10.1007/s00521-024-10944-2
intvolume: '        37'
issue: '7'
language:
- iso: eng
page: 5671-5682
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
  name: Institut für Systemdynamik und Mechatronik
publication: Neural Computing and Applications
publication_identifier:
  eissn:
  - 1433-3058
  issn:
  - 0941-0643
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Velocity control of a Stephenson III six-bar linkage-based gait rehabilitation
  robot using deep reinforcement learning
type: journal_article
user_id: '257451'
volume: 37
year: '2025'
...
---
_id: '2944'
author:
- first_name: Wadhah
  full_name: Zai El Amri, Wadhah
  last_name: Zai El Amri
- first_name: Felix
  full_name: Reinhart, Felix
  last_name: Reinhart
- first_name: Wolfram
  full_name: Schenck, Wolfram
  id: '224375'
  last_name: Schenck
  orcid: 0000-0003-3300-2048
citation:
  alphadin: '<span style="font-variant:small-caps;">Zai El Amri, Wadhah</span> ; <span
    style="font-variant:small-caps;">Reinhart, Felix</span> ; <span style="font-variant:small-caps;">Schenck,
    Wolfram</span>: Open set task augmentation facilitates generalization of deep
    neural networks trained on small data sets. In: <i>Neural Computing and Applications</i>
    Bd. 34, Springer Science and Business Media LLC (2022), Nr. 8, S. 6067–6083'
  ama: Zai El Amri W, Reinhart F, Schenck W. Open set task augmentation facilitates
    generalization of deep neural networks trained on small data sets. <i>Neural Computing
    and Applications</i>. 2022;34(8):6067-6083. doi:<a href="https://doi.org/10.1007/s00521-021-06753-6">10.1007/s00521-021-06753-6</a>
  apa: Zai El Amri, W., Reinhart, F., &#38; Schenck, W. (2022). Open set task augmentation
    facilitates generalization of deep neural networks trained on small data sets.
    <i>Neural Computing and Applications</i>, <i>34</i>(8), 6067–6083. <a href="https://doi.org/10.1007/s00521-021-06753-6">https://doi.org/10.1007/s00521-021-06753-6</a>
  bibtex: '@article{Zai El Amri_Reinhart_Schenck_2022, title={Open set task augmentation
    facilitates generalization of deep neural networks trained on small data sets},
    volume={34}, DOI={<a href="https://doi.org/10.1007/s00521-021-06753-6">10.1007/s00521-021-06753-6</a>},
    number={8}, journal={Neural Computing and Applications}, publisher={Springer Science
    and Business Media LLC}, author={Zai El Amri, Wadhah and Reinhart, Felix and Schenck,
    Wolfram}, year={2022}, pages={6067–6083} }'
  chicago: 'Zai El Amri, Wadhah, Felix Reinhart, and Wolfram Schenck. “Open Set Task
    Augmentation Facilitates Generalization of Deep Neural Networks Trained on Small
    Data Sets.” <i>Neural Computing and Applications</i> 34, no. 8 (2022): 6067–83.
    <a href="https://doi.org/10.1007/s00521-021-06753-6">https://doi.org/10.1007/s00521-021-06753-6</a>.'
  ieee: W. Zai El Amri, F. Reinhart, and W. Schenck, “Open set task augmentation facilitates
    generalization of deep neural networks trained on small data sets,” <i>Neural
    Computing and Applications</i>, vol. 34, no. 8, pp. 6067–6083, 2022.
  mla: Zai El Amri, Wadhah, et al. “Open Set Task Augmentation Facilitates Generalization
    of Deep Neural Networks Trained on Small Data Sets.” <i>Neural Computing and Applications</i>,
    vol. 34, no. 8, Springer Science and Business Media LLC, 2022, pp. 6067–83, doi:<a
    href="https://doi.org/10.1007/s00521-021-06753-6">10.1007/s00521-021-06753-6</a>.
  short: W. Zai El Amri, F. Reinhart, W. Schenck, Neural Computing and Applications
    34 (2022) 6067–6083.
date_created: 2023-05-20T15:44:58Z
date_updated: 2026-03-17T15:28:39Z
doi: 10.1007/s00521-021-06753-6
intvolume: '        34'
issue: '8'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://link.springer.com/article/10.1007/s00521-021-06753-6
oa: '1'
page: 6067-6083
publication: Neural Computing and Applications
publication_identifier:
  eissn:
  - 1433-3058
  issn:
  - 0941-0643
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: Open set task augmentation facilitates generalization of deep neural networks
  trained on small data sets
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
user_id: '245590'
volume: 34
year: '2022'
...