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About

Yanjuan Wu is a robotics researcher whose work focuses on multi-robot coordination, intelligent control systems, and autonomous navigation. Her most cited paper, "Research on a Multi-Motor Coordinated Control Strategy Based on Fuzzy Ring Network Control" (2020, 42 citations), introduces a novel cross-coupling ring control method based on fuzzy theory that eliminates speed-tracking lag between motors in intelligent robots. This work has become a foundational reference for researchers working on multi-motor synchronization. Wu also advanced mobile robot path planning with her improved Jump Point Search algorithm (2021), which reduces turning points and enhances path smoothness for more efficient navigation. Her practical engineering contributions include designing a multi-sensor intelligent water surface garbage cleaning robot (2021) that integrates GPS, vision, and ultrasonic sensors with PID control for environmental cleanup applications. Most recently, Wu has explored multi-robot collaborative obstacle avoidance using hierarchical path planning methods (2025), demonstrating her continued leadership in cooperative robotics. With a growing citation record and work spanning from theoretical control strategies to deployed robotic systems, Yanjuan Wu is establishing herself as a versatile researcher advancing both the theory and application of intelligent robotic systems.