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This paper presents a comprehensive overview of fall recovery strategies in humanoid robots. It encompasses the critical aspect of fall detection and elaborates on various approaches to balance recovery, including control-based, optimization-based, and learning-based strategies. The paper aims to synthesize current research findings, identify trends, and suggest directions for future research.
Zhang et al. (Tue,) studied this question.
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