Chenyang Yin

University of Electronic Science and Technology of China

Papers

Total Citations

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About

Chenyang Yin is a robotics researcher whose work centers on mobile manipulation and path planning for service robots. His key contribution lies in developing practical, efficient solutions for indoor robotic systems, most notably through his work on an improved Rapidly-exploring Random Tree (RRT) algorithm. In his highly cited 2022 paper, Yin proposed a novel indoor top mobile service robot that integrates a lifting truss platform with a manipulator, effectively bypassing the complexities of ground-level mapping, positioning, and obstacle avoidance. This design simplifies robotic deployment in cluttered indoor environments, offering a streamlined approach to tasks like object retrieval or delivery. By focusing on kinematic analysis and algorithmic optimization, Yin has addressed critical challenges in real-world robot navigation. His research demonstrates a clear impact, with his most-cited work accumulating citations that underscore its relevance to the field. Yin’s contributions are particularly valuable for advancing service robotics in domestic and commercial settings, where reliability and simplicity are paramount.