Learning expert systems for robot fine motion control
作者： S. Lee , M.H. Kim
关键词: Robot learning 、 Social robot 、 Engineering 、 Robot 、 Expert system 、 Cognitive robotics 、 Artificial intelligence 、 Mobile robot navigation 、 Personal robot 、 Motion planning
摘要: The authors present a learning expert system which enables robot to acquire fine motion skills automatically. follows the paradigm of Expert Assisted Robot Skill Acquisition (EARSA) proposed by (1987). EARSA is mainly concerned with self-discovery in conjunction transfer human and emphasizes distinctive difference perceptual physical capabilities between robot. review theory mechanism EARSA, describe skill algorithm formulated on basis details simulation two-dimensional peg-hole insertion skills. results indicate dramatic improvement performance as result learning. >
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