Papers
17
Total Citations
259
H-Index
8
About
Gaoxin Cheng is a robotics researcher whose work spans two dynamic and socially impactful fields: rehabilitation robotics and bio-inspired wall-climbing robots. His research into lower extremity rehabilitation has produced innovative systems designed to restore mobility in patients suffering from paralysis and hemiparesis. His most cited work, a 2019 paper on magnetorheological actuator-driven rehabilitation robots (72 citations), introduced a dual-mode system that adapts to individual patient needs by distinguishing between robot-active and human-active training modes. Building on this foundation, Cheng pioneered robotic mirror therapy frameworks, incorporating reinforcement learning to intelligently guide impaired limbs by mirroring the motion of a patient's functional limb, with multiple papers accumulating over 50 citations collectively. Equally notable is his prolific contribution to wall-climbing robotics, where he developed bio-inspired machines capable of adhering to both rough and smooth surfaces through innovative spine wheels, adhesive belts, and suction mechanisms — a body of work that earned over 95 citations across three papers published in 2020 alone. His interdisciplinary approach, blending biomimetics, machine learning, and mechanical design, marks him as a versatile and impactful contributor to modern robotics engineering.
Research Focus
Key Achievements
Top Papers
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- 2A Multi-Channel Reinforcement Learning Framework for Robotic Mirror Therapy37 citations · 2020
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- 8Robotic mirror therapy system for lower limb rehabilitation8 citations · 2020
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