The advantage of applying RL to dynamic manipulation is to avoid the complex inverse kinemics and to learn the motion by trial.
增强学习解决动态操作任务的动规划问
,
要机器人正解进行反复尝试即可学会动作,从
避免了常规
动规划方法中涉及的复杂逆解
;
The advantage of applying RL to dynamic manipulation is to avoid the complex inverse kinemics and to learn the motion by trial.
增强学习解决动态操作任务的动规划问
,
要机器人正解进行反复尝试即可学会动作,从
避免了常规
动规划方法中涉及的复杂逆解
;
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