Guoqiang Yin

Northeastern University, Tianjin University of Technology

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About

Guoqiang Yin is a researcher whose work lies at the intersection of intelligent manufacturing and robotics, with a primary focus on precision material processing and autonomous navigation. His most significant contributions are in the field of robotic abrasive belt grinding, where he has developed novel physical models to enhance manufacturing precision. In his highly cited 2023 work (33 citations), Yin introduced an energy conversion-based model for predicting material removal depth, providing a theoretical foundation for more accurate and efficient grinding of complex components. He further advanced this area by modeling tangential forces during the grinding of difficult-to-machine materials like nickel-based superalloys (9 citations). Beyond manufacturing, Yin has also made notable contributions to mobile robotics. His 2018 paper on path planning introduced a novel repulsive force algorithm that overcomes critical limitations of the classic Artificial Potential Field method, specifically solving the problems of local minima and unreachable targets by incorporating a Gaussian function tied to robot-target distance. This dual expertise—bridging high-precision industrial grinding with intelligent robot navigation—positions Yin as a versatile engineer advancing both the physical and algorithmic frontiers of modern robotics.