{"status":"public","doi":"10.1080/09540091.2011.625077","abstract":[{"text":"This paper focuses on adaptive motor control in the kinematic domain. Several motor-learning strategies from the literature are adopted to kinematic problems: ‘feedback-error learning’, ‘distal supervised learning’, and ‘direct inverse modelling’ (DIM). One of these learning strategies, DIM, is significantly enhanced by combining it with abstract recurrent neural networks. Moreover, a newly developed learning strategy (‘learning by averaging’) is presented in detail. The performance of these learning strategies is compared with different learning tasks on two simulated robot setups (a robot-camera-head and a planar arm). The results indicate a general superiority of DIM if combined with abstract recurrent neural networks. Learning by averaging shows consistent success if the motor task is constrained by special requirements.","lang":"eng"}],"date_created":"2021-06-03T19:36:13Z","type":"journal_article","main_file_link":[{"open_access":"1"}],"publication_identifier":{"eissn":["1360-0494"],"issn":["0954-0091"]},"_id":"1220","citation":{"bibtex":"@article{Schenck_2011, title={Kinematic motor learning}, volume={23}, DOI={<a href=\"https://doi.org/10.1080/09540091.2011.625077\">10.1080/09540091.2011.625077</a>}, number={4}, journal={Connection Science}, publisher={Taylor &#38; Francis}, author={Schenck, Wolfram}, year={2011}, pages={239–283} }","apa":"Schenck, W. (2011). Kinematic motor learning. <i>Connection Science</i>, <i>23</i>(4), 239–283. <a href=\"https://doi.org/10.1080/09540091.2011.625077\">https://doi.org/10.1080/09540091.2011.625077</a>","ama":"Schenck W. Kinematic motor learning. <i>Connection Science</i>. 2011;23(4):239-283. doi:<a href=\"https://doi.org/10.1080/09540091.2011.625077\">10.1080/09540091.2011.625077</a>","alphadin":"<span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: Kinematic motor learning. In: <i>Connection Science</i> Bd. 23, Taylor &#38; Francis (2011), Nr. 4, S. 239–283","chicago":"Schenck, Wolfram. “Kinematic Motor Learning.” <i>Connection Science</i> 23, no. 4 (2011): 239–83. <a href=\"https://doi.org/10.1080/09540091.2011.625077\">https://doi.org/10.1080/09540091.2011.625077</a>.","mla":"Schenck, Wolfram. “Kinematic Motor Learning.” <i>Connection Science</i>, vol. 23, no. 4, Taylor &#38; Francis, 2011, pp. 239–83, doi:<a href=\"https://doi.org/10.1080/09540091.2011.625077\">10.1080/09540091.2011.625077</a>.","short":"W. Schenck, Connection Science 23 (2011) 239–283.","ieee":"W. Schenck, “Kinematic motor learning,” <i>Connection Science</i>, vol. 23, no. 4, pp. 239–283, 2011."},"year":"2011","publication":"Connection Science","title":"Kinematic motor learning","publisher":"Taylor & Francis","language":[{"iso":"eng"}],"date_updated":"2025-02-24T07:18:45Z","intvolume":"        23","page":"239-283","user_id":"35437","publication_status":"published","author":[{"id":"224375","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/94914407","last_name":"Schenck","first_name":"Wolfram","full_name":"Schenck, Wolfram","orcid":"0000-0003-3300-2048"}],"issue":"4","oa":"1","volume":23}