Disclosed are a robot autonomous abnormality repair skill learning method and system. The method comprises: predefining a human demonstration trajectory of a robot when performing a complex task; acquiring multimodal sensing information of the robot when performing the complex task, and using the multimodal sensing information for monitoring to obtain abnormal motion skills; and on the basis of an abnormal state type of the abnormal motion skills, enabling an adaptive motion repair strategy to autonomously repair the abnormal motion skills. In the embodiments of the present invention, abnormality types encountered by a robot when performing a complex task may be distinguished, and a corresponding repair strategy may be formulated, which helps to spur the robot to achieve longer-term autonomous operations.
ROBOT AUTONOMOUS ABNORMALITY REPAIR SKILL LEARNING METHOD AND SYSTEM