Papers
7
Total Citations
51
H-Index
4
About
Xiangyun Li is a robotics researcher whose work spans legged locomotion, rehabilitation robotics, and medical robotic systems. Beginning with foundational contributions in robot design, Li's 2011 work on hexapod walking robots introduced a sophisticated 18-servo, three-joint-per-leg architecture aimed at enhancing terrain adaptability, garnering 17 citations and establishing an early trajectory in autonomous mobility systems. Li's research has since evolved toward human-robot interaction and clinical applications. Notably, a 2023 study introducing a robust region tracking controller — cited 15 times — addressed the dual challenge of precise motion tracking and compliant physical interaction in healthcare robotics, leveraging uncertainty and disturbance estimation techniques. Complementing this, Li has made meaningful contributions to stroke rehabilitation, developing assistance-quantification frameworks that dynamically reshape human-robot interaction spaces to support upper limb motor recovery. More recent work demonstrates Li's expanding scope: a dual-quaternion-based torque control framework for nonsingular six-DoF pose tracking targets laparoscopic and sonographic applications, while a deep reinforcement learning approach integrating multimodal sensing advances autonomous ultrasound scanning. Across roughly 50 cumulative citations, Li's portfolio reflects a coherent vision — bridging rigorous control theory with practical medical and assistive robotics to improve patient outcomes and expand autonomous robotic capability in clinical environments.
Research Focus
Key Achievements
Top Papers
- 1Design and Configuration of a Hexapod Walking Robot17 citations · 2011
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