Max Robotics — Global Service Robot Directory + US Certification

About

Yuxin Deng is a leading researcher in intelligent robotic manufacturing, specializing in force control strategies for grinding and polishing applications. His most significant contributions lie in developing adaptive impedance control and hybrid force/position control methods that enable robots to achieve compliant, high-precision material removal. Deng’s landmark 2021 paper on a hybrid control strategy for grinding and polishing robots, which has garnered 67 citations, introduced a novel approach to eliminating impact forces during processing contact through adaptive impedance control. He further advanced the field with his 2022 work on PD-adaptive variable impedance constant force control for macro-mini robots, earning 49 citations for its innovative solution to maintaining stable contact forces during compliant operations. Deng also authored a comprehensive review of robot grinding and polishing force control modes, synthesizing key concepts in the field. His recent work extends beyond force control to mechanism design, including the development of an adjustable Stephenson-III closed-chain leg mechanism for multi-legged robots, demonstrating his versatility in robotics research. With his papers collectively cited over 130 times, Deng’s work is instrumental in advancing automated surface finishing technologies for industrial applications.