Papers
5
Total Citations
61
H-Index
4
About
Tianyu Xiang is a leading researcher at the intersection of medical robotics, tactile sensing, and reinforcement learning, with a focus on advancing autonomous systems for vascular intervention. His major contributions lie in developing intelligent frameworks for surgical skill assessment and autonomous guidewire delivery in percutaneous coronary intervention (PCI). Xiang pioneered the use of dynamic warping manipulations for objective PCI skill evaluation, enabling quantitative differentiation between expert and novice performance. He also introduced a novel Halbach-cylinder-based magnetic skin for robotic tactile sensing, addressing the long-standing challenge of weakly interpretable information mapping in tactile sensors. His work on discrete soft actor-critic with auto-encoders and model-based offline reinforcement learning has achieved over 10 citations each, demonstrating significant impact in autonomous instrument delivery. Notably, Xiang’s research combines offline and online reinforcement learning to effectively learn complex, soft-body manipulation skills, reducing the need for extensive human training. With over 60 total citations across his top papers, Tianyu Xiang is shaping the future of intelligent, autonomous vascular robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Surgical Skill Assessment Based on Dynamic Warping Manipulations21 citations · 2022
- 2
- 3Discrete soft actor-critic with auto-encoder on vascular robotic system10 citations · 2022
- 4
- 5