{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T04:06:58Z","timestamp":1777522018444,"version":"3.51.4"},"reference-count":52,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2011,10,1]],"date-time":"2011-10-01T00:00:00Z","timestamp":1317427200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Adaptive Behavior"],"published-print":{"date-parts":[[2011,10]]},"abstract":"<jats:p>\n                    Playing table tennis is a difficult motor task that requires fast movements, accurate control, and adaptation to task parameters. Although human beings see and move slower than most robot systems, they significantly outperform all table tennis robots. One important reason for this higher performance is the human movement generation. In this article, we study human movements during table tennis and present a robot system that mimics human striking behavior. Our focus lies on generating hitting motions capable of adapting to variations in environmental conditions, such as changes in ball speed and position. Therefore, we model the human movements involved in hitting a table tennis ball using discrete movement stages and the virtual hitting point hypothesis. The resulting model was evaluated both in a physically realistic simulation and on a real anthropomorphic seven degrees of freedom Barrett WAM\n                    <jats:sup>TM<\/jats:sup>\n                    robot arm.\n                  <\/jats:p>","DOI":"10.1177\/1059712311419378","type":"journal-article","created":{"date-parts":[[2011,10,26]],"date-time":"2011-10-26T06:17:26Z","timestamp":1319609846000},"page":"359-376","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":63,"title":["A biomimetic approach to robot table tennis"],"prefix":"10.1177","volume":"19","author":[{"given":"Katharina","family":"M\u00fclling","sequence":"first","affiliation":[{"name":"Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany, , Technische Universit\u00e4t Darmstadt, FG Intelligente Autonome Systeme, Darmstadt, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jens","family":"Kober","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany, Technische Universit\u00e4t Darmstadt, FG Intelligente Autonome Systeme, Darmstadt, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Peters","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany, Technische Universit\u00e4t Darmstadt, FG Intelligente Autonome Systeme, Darmstadt, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2011,10,26]]},"reference":[{"key":"atypb1","unstructured":"Abbs, J. & Cole, K. ( 1987). Neural mechanisms of motor equivalence and goal achievement . In S. Wise (Ed.), Higher brain functions: Recent explorations of the brain\u2019s emergent properties (pp. 15-43). Hoboken, NY: John Wiley & Sons."},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2003.1256297"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1007\/s004220050324"},{"key":"atypb4","volume-title":"A robot ping-pong player: Experiment in real-time intelligent control","author":"Andersson, R.","year":"1988"},{"key":"atypb5","doi-asserted-by":"crossref","unstructured":"Angel, L., Sebastian, J., Saltaren, R., Aracil, R. & Gutierrez, R. ( 2005). Robotenis: Design, dynamic modeling and preliminary control . 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( 2006). Learning to dynamically manipulate: A table tennis robot controls a ball and rallies with a human being. In S. Kawamura & M. Svinin (Eds.), Ad\u03bdances in robot control (pp. 3137-3341). Berlin: Springer."},{"key":"atypb33","doi-asserted-by":"publisher","DOI":"10.1007\/BF00236911"},{"key":"atypb34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15193-4_26"},{"key":"atypb35","volume-title":"Numerical recipes: The art of scientific computing","author":"Press, W.","year":"2007","edition":"3"},{"issue":"2","key":"atypb36","first-page":"97","volume":"2","author":"Ramanantsoa, M.","year":"1994","journal-title":"International Journal of Table Tennis Science"},{"key":"atypb37","doi-asserted-by":"publisher","DOI":"10.1080\/00140138808966814"},{"key":"atypb38","doi-asserted-by":"publisher","DOI":"10.1080\/026404102317284754"},{"key":"atypb39","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00261.2003"},{"key":"atypb40","volume-title":"The SL simulation and real-time control software package (Tech. 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