2019 Chinese Control and Decision Conference (CCDC) 2019
DOI: 10.1109/ccdc.2019.8832817
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3D Humanoid Robot Multi-gait Switching and Optimization

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Cited by 3 publications
(3 citation statements)
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“…Abdolmaleki et al [59,60] proposed a Contextual Relative Entropy Policy Search with Covariance Matrix Adaptation (CREPS-CMA) algorithm for learning distance-controllable kicking skills, which outputs parameters selected through keyframe selection based on the expected kicking distance. Lu et al [61] used PCA to reduce the number of parameters before applying the CMA-ES algorithm to optimize the reduced parameters, while Jouandeau et al [62] used the CLOP algorithm to improve the training speed of the CMA-ES optimization. Uchitane et al [63,64] proposed a mask-CMA-ES algorithm that ignores unimportant parameters to speed up the optimization process and ensure optimization effectiveness.…”
Section: Optimization Methods For Generating Skills Based On Modelsmentioning
confidence: 99%
“…Abdolmaleki et al [59,60] proposed a Contextual Relative Entropy Policy Search with Covariance Matrix Adaptation (CREPS-CMA) algorithm for learning distance-controllable kicking skills, which outputs parameters selected through keyframe selection based on the expected kicking distance. Lu et al [61] used PCA to reduce the number of parameters before applying the CMA-ES algorithm to optimize the reduced parameters, while Jouandeau et al [62] used the CLOP algorithm to improve the training speed of the CMA-ES optimization. Uchitane et al [63,64] proposed a mask-CMA-ES algorithm that ignores unimportant parameters to speed up the optimization process and ensure optimization effectiveness.…”
Section: Optimization Methods For Generating Skills Based On Modelsmentioning
confidence: 99%
“…There are two game modes for the IRIS robot either attacking mode or defending mode. When one of the team's robots gets the ball, the team changes the game mode to attacking, using equation (5). If the defender robot is holding the ball, the defender robot will feed the ball to the attacker robot.…”
Section: Advance Attack Strategymentioning
confidence: 99%
“…The developments focus on developing the robot motions and internal movements such as balance and robot dynamics, starting from kid size, teen size, and adult size. Movement optimization has been proposed in [5] to get the best moves in humanoid robot soccer games.…”
Section: Introductionmentioning
confidence: 99%