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[[研究/各研究の話/2013年度]] * Summary [#e708e15a] - If depending on the action a robot takes, the future state will vary infinitely. -- If we take this point into consideration, we need to simultaneously predict the internal state and the action that the robot adopt. - Focusing on the method that compensate the current action as the appropriate action using next time and future actions that robots will take. - For achievement of this problem, we state advance prediction using Online SVR (support vector regression) and LQR (linear-quadratic regulator). -- Proposed system is composed two parts. --- State Predictor: To predict next state of the robot. In this study we apply Online SVR. --- Action Predictor: To predict next action of the robot. In this study we apply two method. First, Online SVR. And second, LQR. * Outline figure [#jdd1364f] #ref(RA_Doctor1_1.png,left,30%) ~ #ref(RA_Doctor1_2.png,left,25%)