Jinghui Yang

Shanghai Polytechnic University, Harbin Institute of Technology

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About

Jinghui Yang’s research focuses on intelligent mobile robotics, with a particular emphasis on path planning and optimization algorithms for dynamic environments. A key contribution is the development of an improved A* algorithm for path planning, detailed in a 2024 paper that has already garnered 12 citations. This work addresses the critical challenge of enabling robots to generate optimal trajectories in complex settings, with applications spanning logistics, healthcare, and service industries. Earlier, Yang pioneered a chaos genetic algorithm for mobile robot path planning (2004, 4 citations), which ingeniously combined the inversion property of genetic algorithms with the ergodic nature of chaos optimization. This hybrid approach significantly enhanced local search ability and search accuracy, effectively avoiding premature convergence—a common pitfall in traditional genetic algorithms. By bridging classical optimization techniques with modern robotic challenges, Yang’s work has laid foundational groundwork for efficient navigation systems. The sustained citation of these studies underscores their relevance to both academic research and practical deployment in autonomous systems.