Papers
10
Total Citations
89
H-Index
6
About
Xingcan Liang is a robotics researcher whose work spans climbing robots, soft robotics, and rehabilitation systems. Liang has made significant contributions to wall-climbing robot design, developing innovative vacuum adsorption systems and adhesive belts that enable flexible, steerable movement on smooth surfaces—work that has garnered 30 citations. In soft robotics, Liang introduced a stiffness-tuneable segment for continuum robots with vertebrae, allowing adjustable rigidity to combine the compliance of soft robots with the precision of rigid ones (15 citations). For rehabilitation, Liang developed robotic mirror therapy and reinforcement learning-based systems for lower extremity hemiparesis, enabling voluntary exercise assistance for patients with individual disability levels. Liang’s research also explores bioinspired robotics, including trajectory planning inspired by free-falling cats for attitude control during falls, and under-actuated soft adhesion actuators for climbing robots. With over 80 total citations across key publications, Liang’s work demonstrates a commitment to advancing robot mobility, adaptability, and human-robot interaction, making notable contributions to both industrial and medical robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Stiffness-Tuneable Segment for Continuum Soft Robots with Vertebrae15 citations · 2022
- 3
- 4Robotic mirror therapy system for lower limb rehabilitation8 citations · 2020
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- 7Design of Under-Actuated Soft Adhesion Actuators for Climbing Robots5 citations · 2022
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