研究/ResearchActivity/2013年度/01 の変更点


[[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%)
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#ref(RA_Doctor1_2.png,left,25%)