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The paper takes table tennis robot stroking table tennis as research objects, it makes physical force analysis, and gets the physical force model existed drawbacks, to further optimize model, it proposes least square method motion trajectory model to recognize and predict table tennis motion trend. Finally by table tennis collision process, it deduces release speed, racket speed and others connections that plays positive roles in robot table tennis development.
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Author(s): Yongbing Chen and Geng Du
table tennis robot, trajectory prediction model, least square method, identifying prediction, robot motion planning