Chaoyong Chen

Wuhan University of Science and Technology

Papers

Total Citations

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About

Chaoyong Chen is a robotics researcher whose work focuses on intelligent path planning and control systems for mobile service robots. His primary research areas include swarm intelligence optimization, fuzzy control algorithms, and autonomous navigation for service and industrial robots. Chen’s most impactful contribution is his 2021 paper on global path planning using ant colony optimization and fuzzy control, which has garnered 79 citations. This work addresses the critical challenge of slow convergence in mobile robot path planning by introducing an innovative method that determines initial pheromone distribution based on obstacle influence factors, significantly improving navigation efficiency. He has also developed a re-entry path planning method using dynamic Inver-Over evolutionary algorithms for cleaning service robots, enabling complete coverage in dynamic environments. In industrial applications, Chen proposed a self-adjusting factor fuzzy control algorithm for seam tracking in welding robots, combining structured light vision to enhance real-time adaptability and dynamic performance. His research bridges theoretical optimization algorithms with practical robotic applications, offering solutions that improve both the speed and accuracy of autonomous navigation in complex, obstacle-rich environments.