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About

Wuyin Jin is a researcher specializing in intelligent robotics and autonomous navigation, with a focus on path planning and control systems for mobile robots and robotic arms. Their major contributions include the development of a multi-goal global dynamic path planning method that integrates an improved A* algorithm with the traveling salesman problem (TSP) and dynamic window approach, enabling indoor mobile robots to efficiently traverse multiple targets while avoiding dynamic obstacles. This work has garnered 8 citations. Jin also advanced ant colony optimization for mobile robot path planning by enhancing the heuristic function with obstacle information, addressing issues of slow convergence and excessive turning points. More recently, they proposed a novel hybrid improved dung beetle optimization algorithm for robotic arm obstacle avoidance planning. Additionally, Jin has contributed to wheeled robot tracking systems, designing a single neuron PID controller based on Elman neural network identification for precise path tracking. Their research demonstrates a consistent focus on improving the efficiency, accuracy, and adaptability of robotic navigation and control systems.