Zhuoyi Xing
Papers
3
Total Citations
153
H-Index
3
About
Zhuoyi Xing is a robotics researcher whose work bridges foundational motion planning with emerging challenges in space robotics. His most influential contribution, “Robot Path Planning Based on Artificial Potential Field Approach with Simulated Annealing” (2006, 141 citations), tackles the classic local-minima trap in artificial potential field methods by integrating simulated annealing—a key advance that remains widely referenced for its practical, computationally efficient solution. Xing further contributed to real-time robot vision with a target recognition and tracking algorithm (2007) that balances algorithmic complexity, precision, and speed for embedded systems. More recently, his research has extended to space robotics, where he proposed a path planning method for free-flying space robots (2020) that addresses dynamic singularity during trajectory planning—critical for in-orbit maintenance and debris defense. With a career spanning two decades, Xing’s work demonstrates a consistent focus on overcoming fundamental limitations in robot autonomy, from terrestrial navigation to the unique constraints of microgravity environments. His 2006 paper alone has shaped subsequent research in mobile robot navigation and remains a standard reference for students and engineers seeking robust, low-cost path planning solutions.
Research Focus
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Top Papers
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