Meet the people working on Physical AI and robotic systems at PAIRS Lab.
Tenure-Track Assistant ProfessorRobotics and Autonomous Systems Thrust, Systems Hub, HKUST(GZ)
Fangqiang Ding works at the intersection of robotics, computer vision, machine learning, and sensing. His research develops trustworthy and scalable Physical AI systems that operate robustly in the real world and support long-term human-machine symbiosis.
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2026–Present: Robot memory, World models
2026–Present: Robot Learning, World Models
2026–Present: Adaptive decision-making, Long-horizon robotic tasks
2026–Present: Human-Robot Interaction, Robot Learning
2026-present: Real2Sim
2026–Present: Embodied AI, Reinforcement Learning
2026–Present: Robot navigation, World models
2026–Present: Mobile autonomy for rescue
2026–Present: Physical Intelligence
2026–Present: Reinforcement Learning, Robot Manipulation
Jul. 2026–Present: Embodied AI, Robot Navigation
2026–Present: Embodied Intelligence, Vision-Language-Action Models
2026–Present: Dexterous manipulation, Human sensing
2026-Present: Robot Navigation, Robust SLAM
2026–Present: Whole-Body Control, Mobile Manipulation
2026–Present: Long-horizon robotic tasks, Vision-language-action models
2026–Present: Robot Navigation
2026–Present: Manipulation, World Models
2026–Present: Learning-based control, Embodied intelligence
2026–Present: Robot navigation, Robot learning
2026–Present: Embodied intelligence, Robot navigation
Learning analytics, Human-computer interaction (HCI)
2026–Present: Autonomous driving, 4D radar
2026–Present: Autonomous driving, 4D radar perception
