Zhiwei Yu

Papers

Total Citations

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About

Zhiwei Yu is a robotics researcher whose work spans intelligent control systems and biomechanical robot design. His research focuses on two interconnected domains: adaptive control algorithms for industrial automation and the mechanical design of humanoid robotic systems. In the realm of industrial robotics, Yu has tackled fundamental limitations in coal gangue sorting automation, developing reinforcement learning-based control algorithms that overcome the reliance on precise environmental models inherent in traditional approaches like the Ferrary-method dynamic target grasping algorithm. This work advances the adaptivity and practical deployability of sorting robot arms in real-world mining applications. Yu's contributions to humanoid robotics are demonstrated through his design of a two-degree-of-freedom parallel ankle joint mechanism for biped robots, grounded in careful biomechanical analysis of human ankle motion. By constructing a parameterized model and conducting rigorous kinematic and dynamic analysis, he delivered an optimally designed joint system that more faithfully replicates natural human locomotion. With each of his most recognized works accumulating 3 citations, Yu represents an emerging voice in applied robotics research, contributing technical solutions that bridge biological inspiration and intelligent control — areas of growing importance as autonomous systems become increasingly integrated into industrial and everyday environments.