Papers
25
Total Citations
542
H-Index
11
About
Dapeng Yang is a leading researcher in the intersection of robotics, artificial intelligence, and human-machine interaction, with a primary focus on dexterous robotic hands, prosthetics, and intelligent control systems. His groundbreaking work includes the development of an anthropomorphic robot hand based on underactuated mechanisms and controlled by electromyography (EMG) signals, which has garnered 137 citations and laid the foundation for intuitive prosthetic control. Yang has pioneered the use of deep learning for multi-degree-of-freedom wrist movement decoding from surface EMG, achieving 54 citations, and has advanced adaptive prosthetic sockets with auto-adjusting air bladders to enhance user comfort. His contributions extend to soft robotics, including a large-scale inflatable robotic arm for inspecting sensitive environments, and to educational technology, where he designed a voice-interactive AI robot for hybrid physical education. With over 450 total citations, Yang’s work spans from intrinsically-actuated multisensory hands to space telescope assembly robots, demonstrating his versatility and impact. His research not only advances fundamental robotics but also directly improves assistive technologies and industrial applications, making him a pivotal figure in the field.
Research Focus
Key Achievements
Top Papers
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- 3An EMG-Based Deep Learning Approach for Multi-DOF Wrist Movement Decoding54 citations · 2021
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