Papers
7
Total Citations
49
H-Index
4
About
Dr. Kecheng Shi is a leading researcher at the intersection of robotics, human-machine interaction, and intelligent control, with a primary focus on rehabilitation exoskeletons and bipedal locomotion. His most impactful work centers on developing multimodal human-exoskeleton interfaces that fuse electroencephalography (EEG) and surface electromyography (sEMG) signals to enable more natural and reliable movement prediction for rehabilitation training—a key paper on this topic has garnered 14 citations. Dr. Shi also introduced MCSNet, a channel synergy-based framework for sEMG-driven exoskeleton control (11 citations), advancing the practicality of biological signal interfaces. Beyond rehabilitation, he has made notable contributions to robust optimal control for robotic manipulators using adaptive dynamic programming (7 citations) and to vision-based robotics with Weak6D, a weakly supervised method for 6D pose estimation (7 citations). His work on C-SQG, a cosine-law-based gait generation approach for knee-stretched biped walking (4 citations), and terrain-adaptive gait planning for lower limb exoskeletons (3 citations) demonstrates a comprehensive approach to human-centered robotics. With over 49 citations across his most-cited works, Dr. Shi’s research is shaping the future of assistive and autonomous robotic systems, making him a key figure in the field.
Research Focus
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Top Papers
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