Feb. 1, 2024, 12:42 p.m. | Tairan He Chong Zhang Wenli Xiao Guanqi He Changliu Liu Guanya Shi

cs.CV updates on arXiv.org arxiv.org

Legged robots navigating cluttered environments must be jointly agile for efficient task execution and safe to avoid collisions with obstacles or humans. Existing studies either develop conservative controllers (< 1.0 m/s) to ensure safety, or focus on agility without considering potentially fatal collisions. This paper introduces Agile But Safe (ABS), a learning-based control framework that enables agile and collision-free locomotion for quadrupedal robots. ABS involves an agile policy to execute agile motor skills amidst obstacles and a recovery policy to …

agile agility collision cs.ai cs.cv cs.lg cs.ro cs.sy eess.sy environments focus free humans legged robots obstacles paper robots safety speed studies

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