Dapeng Li

Papers

Total Citations

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About

Dapeng Li is an emerging robotics researcher whose work sits at the cutting edge of humanoid robotics and embodied artificial intelligence. His research focuses on the development of intelligent control systems for humanoid robots, with a particular emphasis on whole-body control, complex motor coordination, and the integration of foundation models into physical robotic systems. His most notable contribution to date is a comprehensive survey on Behavior Foundation Models, a next-generation framework aimed at unifying whole-body control for humanoid platforms. This work tackles one of the field's most formidable challenges — enabling robots with sophisticated, high-dimensional dynamics to perform generalizable, human-like physical tasks — and situates it within the broader ambition of achieving general-purpose physical intelligence. Published in 2025, the survey has already accumulated citations, signaling early traction within the research community. Li's scholarship bridges theoretical foundations in robot learning and control with the practical demands of human-robot interaction, positioning him as a promising voice in the rapidly evolving landscape of humanoid robotics. Students and researchers exploring embodied AI and next-generation robotic control systems will find his work a valuable and forward-looking resource.