Robotics Intelligence and Learning Laboratory, Hong Kong University of Science and Technology (Guangzhou)
The Robotics Intelligence and Learning Laboratory at HKUST(GZ) conducts research at the intersection of AI and robotics, focusing on robot design and control, multimodal perception, intelligent manipulation, and learning from video data. The lab emphasizes human-robot interaction and skill learning.
Notable achievements
Research in AI-driven robotic systems; multimodal vision and language models; imitation learning and video understanding; human action prediction and collaboration
Notable work
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
Learning passive variable impedance skills for contact-rich tasks via conservative extended dynamical systems
Pingyun Nie, Jiexin Zhang, Tianxiang Jiang +4 more
Robotics and Computer-Integrated Manufacturing · 2027
A digital twin-empowered resilient path-following approach for non-holonomic autonomous vehicles under DoS attacks
Hunain Kaisar, Muhammad Rehan, Ijaz Ahmed +1 more
Robotics and Autonomous Systems · 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
FloAff-Kitchen: Bridging Navigation and Manipulation via Canonical and Progressive Floor Affordance Learning
Ping Zhong, Manling Teng, Tao Wu +3 more
2026
VIA: Visual Interface Agent for Robot Control
Hengyuan Hu, Priya Sundaresan, Jensen Gao +1 more
2026
What Are We Actually Benchmarking in Robot Manipulation?
Tianchong Jiang, Xiangshan Tan, Samuel Wheeler +3 more
2026