REBot：瞬時的な動的障害物回避を実現する反射的回避ロボット
REBot: Reflexive Evasion Robot for Instantaneous Dynamic Obstacle Avoidance
四足歩行ロボットが高速で迫る障害物を瞬時に避けるため、回避方策と復帰方策を有限状態機械で統合した制御フレームワークを提案し、実機実験で成功率と省エネ性の向上を示した。
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著者: Zihao Xu, Ce Hao, Chunzheng Wang, Kuankuan Sima, Fan Shi, Jin Song Dong
分類: cs.RO
原文アブストラクト
Dynamic obstacle avoidance (DOA) is critical for quadrupedal robots operating in environments with moving obstacles or humans. Existing approaches typically rely on navigation-based trajectory replanning, which assumes sufficient reaction time and leading to fails when obstacles approach rapidly. In such scenarios, quadrupedal robots require reflexive evasion capabilities to perform instantaneous, low-latency maneuvers. This paper introduces Reflexive Evasion Robot (REBot), a control framework that enables quadrupedal robots to achieve real-time reflexive obstacle avoidance. REBot integrates an avoidance policy and a recovery policy within a finite-state machine. With carefully designed learning curricula and by incorporating regularization and adaptive rewards, REBot achieves robust evasion and rapid stabilization in instantaneous DOA tasks. We validate REBot through extensive simulations and real-world experiments, demonstrating notable improvements in avoidance success rates, energy efficiency, and robustness to fast-moving obstacles. Videos and appendix are available on https://rebot-2025.github.io/.
