Zhe-peng Yue

Papers

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About

Dr. Zhe-peng Yue is a researcher focused on advancing autonomous navigation and path planning for mobile robots. His primary contributions lie in developing hybrid metaheuristic algorithms that significantly improve the efficiency and reliability of robot motion in complex environments. Notably, his 2023 work, "A hybrid strategy-based GJO algorithm for robot path planning," has garnered 55 citations, demonstrating its substantial impact on the field by effectively balancing exploration and exploitation for optimal route generation. Dr. Yue has also pioneered the integration of adaptive filtering with Simultaneous Localization and Mapping (SLAM), as seen in his 2021 paper introducing the Adaptive Lattice Kalman Filter-SLAM. This work reduces computational overhead while enhancing filter stability, a critical advancement for real-time autonomous navigation. His continued exploration of multi-strategy optimization, including recent work on the Sand Cat Swarm Optimization algorithm, underscores his commitment to solving challenging robotic control problems. Through these innovative algorithmic frameworks, Dr. Yue is making significant strides toward more intelligent, efficient, and robust autonomous robotic systems.