Kangjing Shi

Wuhan University of Science and Technology

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Total Citations

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About

Kangjing Shi is a leading researcher in mobile robotics, with a primary focus on intelligent path planning and human-robot collaboration. Their most notable contribution is the development of the Fuzzy Dynamic Window Algorithm for local path planning, a breakthrough that addresses the critical challenge of enabling robots to navigate safely and efficiently in dynamic, human-populated environments. This work, published in 2023 and already garnering 27 citations, refines the traditional dynamic window approach by integrating fuzzy logic to better handle uncertainty in real-time obstacle avoidance. Shi’s research directly tackles the growing demand for autonomous systems in modern society, bridging the gap between theoretical robotics and practical deployment in collaborative settings. By improving the adaptability and safety of mobile robot navigation, their work has significant implications for industrial automation, service robotics, and assistive technologies. With a rapidly growing citation record, Kangjing Shi is establishing themselves as an influential voice in the field, driving forward the next generation of intelligent, human-aware robotic systems.