研究/ResearchActivity/2013年度/01
2018-04-16 (月) 15:53:00 (1752d)
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.
- Proposed system is composed two parts.