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A single filter can reduce unsafe motion generation by 90% by grounding safety rules in the generator's own reference trajectories, without retraining.
A humanoid robot can dodge 95% of thrown balls using only depth data from a head-mounted camera, showcasing the potential of perception-aware safety in dynamic environments.
MPC-RL achieves superior humanoid locomotion and manipulation performance by integrating efficient MPC guidance, challenging the traditional RL training paradigms.
HANDOFF redefines humanoid robot control by seamlessly integrating diverse manipulation skills into a single, intuitive command interface.
Legged robots can now navigate complex environments with context-aware safety margins, thanks to a new framework that understands object semantics and adjusts safety protocols accordingly.
