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
Generalized machine learning model for deformation prediction and compensation in robotic machining
Taehwa Hong, Gyuho Kim, Seong Hyeon Kim +1 more
Robotics and Computer-Integrated Manufacturing · 2026
Optimization of robotic machining through circular path error compensation
Kanglin Xing, J.R.R. Mayer, Yannick Cianyi +3 more
Robotics and Computer-Integrated Manufacturing · 2026
A hierarchical approach to imitation learning for manipulation tasks requiring time varying forces
Rishabh Shukla, Adithya Santhosh, Shaili Gandhi +2 more
Robotics and Computer-Integrated Manufacturing · 2026
A machine learning–based tool for enhancing position accuracy in industrial robots with a reduced dataset
Giuseppe Romano, Pietro Bilancia, Alberto Locatelli +3 more
Robotics and Computer-Integrated Manufacturing · 2026
Kairos: A Native World Model Stack for Physical AI
Kairos Team, Fei Wang, Shan You +17 more
2026