Key points are not available for this paper at this time.
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. (2024) studied this question.