Legged AI Lab
Founded at University of Wisconsin–Madison in 2023 and now based at Shanghai Innovation Institute, the Legged AI Lab develops mathematical foundations and algorithms for physical AI in robots. They bridge control theory, optimization, and machine learning to enable agile locomotion and manipulation.
Notable achievements
Mathematical foundations for physical AI, agile locomotion algorithms
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
A fusion prediction model of tool wear based on physical information and machine learning in five-axis milling TC4 titanium alloy
Shaoqing Qin, Lida Zhu, Yanpeng Hao +7 more
Robotics and Computer-Integrated Manufacturing · 2026
Meta-operation-assisted optimization for execution-parameterized robotic disassembly sequence planning
Yilin Fang, Ling Gui, Zhiyao Li +2 more
Robotics and Computer-Integrated Manufacturing · 2027
State-enhanced surrogate environment and multi-time-scale deep reinforcement learning for robotic grinding optimisation
Jihong Yan, Ruizhi Li
Robotics and Computer-Integrated Manufacturing · 2027
Research on motion control optimization methods for redundant degree-of-freedom robotic polishing systems
Bin Liu, Dongju Chen, Wenhui Deng +3 more
Robotics and Computer-Integrated Manufacturing · 2027
A hyper-heuristic approach of integrating human–machine constraints in energy-aware flow shop scheduling
Xixing Li, Jingsheng Lian, Rui Wu +5 more
Robotics and Computer-Integrated Manufacturing · 2027
Modular design and distributed passive drive optimization for a large-scale 2D deployable planar antenna mechanism
Chuang Shi, Ming Li, Chen Yao +7 more
Aerospace Science and Technology · 2027