研究/各研究の話/2013年度

Summary

  • 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

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添付ファイル: fileRA_Doctor1_1.png 95件 [詳細] fileRA_Doctor1_2.png 100件 [詳細]