Papers
46
Total Citations
1,033
H-Index
17
About
Jinzhu Peng is a prominent researcher specializing in robotics, intelligent control systems, and human-robot interaction, with particular expertise bridging advanced sensing technologies and robotic manipulation. His most influential work focuses on arc welding robotics, where his 2020 paper on 3D seam extraction and path planning using point cloud segmentation has garnered 193 citations, establishing him as a leading voice in intelligent welding automation. Complementing this, his review of structured light sensing techniques in welding robots (111 citations) has become an essential reference for the field. Peng has made substantial contributions to robotic control theory, developing sophisticated impedance control frameworks that incorporate adaptive neural networks, nonlinear observers, and H∞ approaches to handle system uncertainties and external disturbances. His work on high-order control barrier functions for time-varying output constraints reflects his continued push toward safer, more reliable robotic manipulation. Beyond manipulation, he has explored human-robot interaction through Kinect-based gesture recognition and collision-free routing algorithms for multi-robot systems. With over 700 cumulative citations across his top papers, Peng's research consistently tackles real-world challenges in industrial robotics, making his work highly relevant to both academic researchers and engineering practitioners seeking robust, intelligent robotic solutions.
Research Focus
Key Achievements
Top Papers
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