CUHK Legged Robot Lab
The CUHK Legged Robot Lab develops robust and precise locomotion for legged robots across diverse terrains using reinforcement learning and imitation learning. Their research emphasizes environment-aware perception and learning-based locomotion policies.
Notable achievements
Terrain-adaptive legged robot control, learning-based locomotion policies
Notable work
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
Robotic learning from demonstration enabled by improved gaussian mixture model and gaussian mixture regression
Weidong Li, Cheng Qian, Wei Luo +4 more
Robotics and Computer-Integrated Manufacturing · 2027
A meta-skill framework for flexible manufacturing with hybrid robot using reinforcement learning
Ninghe Lu, Nanyan Shen, Jing Li +2 more
Robotics and Computer-Integrated Manufacturing · 2027
ContraManip: Visual contrastive reinforcement learning with dual data augmentations for robust generalization in robotic manipulation
Liming Zhang, Bo Liu, Yuhan Wang +1 more
Robotics and Autonomous Systems · 2026
PAEAR: Point Clouds Area Exploration and Active Recognition method driven by reinforcement learning for robotic welding
Yong Tao, Donghua Tan, Fan Ren +6 more
Robotics and Computer-Integrated Manufacturing · 2026
Artificial intelligence-driven optimization and reinforcement learning for intelligent mobile robot operations in warehouse automation: A review
Mahmoud Elnady, Stepan Ozana
Robotics and Autonomous Systems · 2026
Mixture-of-experts action chunking transformers for high-precision robot imitation learning
Hung Phan Quoc Mai, Naeem Ul Islam
Robotics and Autonomous Systems · 2026