Dynamic Robotics and Control Laboratory
The Dynamic Robotics and Control Laboratory at USC Viterbi School of Engineering focuses on extreme agile and robust locomotion for legged robots. Research combines robust/adaptive control, trajectory optimization, and machine learning to enable aggressive motions on rough terrains.
Notable achievements
Fast running and high jumping quadruped systems, aggressive terrain navigation
Notable work
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
A new global-local trajectory optimization with minimal energy consumption for heavy load multi-DoF forming robot
Xinghui Han, Xin Chen, Fangyan Zheng +2 more
Robotics and Computer-Integrated Manufacturing · 2026
Frequency-shaped μ-synthesis with force-guided reference shaping for robust impedance control of robots
Nianfeng Shao, Yuancan Huang
Robotics and Autonomous Systems · 2026
Robust consensus control of cooperative transportation systems on uneven terrain
Shanqi Guo, Boli Chen, Yuanjian Zhang +1 more
Robotics and Autonomous Systems · 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
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