Papers
4
Total Citations
21
H-Index
3
About
Jianxiang Liu is a multidisciplinary robotics and medical technology researcher whose work spans intelligent path planning, rehabilitation engineering, surgical robotics, and robust control systems. His most recognized contribution lies in autonomous mobile robotics, where he developed a fusion algorithm combining the A* algorithm with the Dynamic Window Approach (DWA) to overcome longstanding limitations in path planning efficiency and dynamic obstacle avoidance — work that has garnered 9 citations since its 2023 publication. Liu has also made meaningful contributions to rehabilitation engineering, designing a smart mobile hip exoskeleton capable of interpreting man-machine interaction signals to support early neurological rehabilitation in patients with motor dysfunction. In the clinical domain, his investigation into da Vinci robotic surgical systems for presacral nerve sheath tumor treatment demonstrated the safety and feasibility of minimally invasive robotic surgery in a challenging anatomical region. More recently, Liu has extended his scope into advanced control theory, exploring model-free robust reinforcement learning through Polynomial Chaos methods. Collectively, his growing body of work — spanning over 20 citations — reflects a researcher uniquely positioned at the intersection of intelligent systems, human-robot interaction, and translational medical robotics.
Research Focus
Key Achievements
Top Papers
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- 4Model-free robust reinforcement learning via Polynomial Chaos3 citations · 2024