Research Topics
Our research sits at the interdisciplinary nexus of machine learning, robotic surgical intelligence and medical image analysis, aiming to develop innovative intelligent systems that advance diagnosis, intervention, and medical education through next-generation healthcare technologies. Our work spans embodied AI for surgical robotics, medical image understanding, robot sensing and planning in dynamic environments, agentic AI systems for clinical decision-making, LLM for education and smart XR for medical training. Representative contributions include 3D deep learning for high-dimensional image computing, domain adaptation and generalization across heterogeneous medical data, surgical video analysis with efficient spatio-temporal learning, and visual-kinematic perception and automation in surgical robotics.
Recent focus: 1) Surgical Robotics, 2) Agentic AI Systems for Healthcare Applications, 3) Human Robots for Elderly Care, 4) Safe Embodied AI, 5) LLMs and Smart XR for Medical Education
Surgical Robotics
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Agentic AI Systems for Healthcare Applications
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Humanoid Robots for Elderly Care
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Safe Embodied AI
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