Shunming Li

Nanjing University of Aeronautics and Astronautics, Nanjing University

Papers

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About

Shunming Li is a leading researcher in mobile robotics, specializing in intelligent navigation, sensor fusion, and fuzzy logic control for autonomous systems operating in unknown environments. Li’s most impactful contribution is the development of a fuzzy behavior-based architecture for mobile robot navigation, which seamlessly integrates fuzzy logic with priority-based behavior control. This seminal work, cited over 55 times, provides a robust framework for robots to navigate complex, unstructured spaces by coordinating goal-seeking and obstacle avoidance behaviors. Li further advanced the field by proposing a map construction and path planning method that leverages multi-sensor information fusion via the Extended Kalman Filter (EKF), a 2022 study that has already garnered 35 citations for its practical approach to intelligent vehicle navigation. Earlier foundational work applied fuzzy control to unmanned exploration vehicles, equipping them with ultrasonic sensors and onboard fuzzy controllers for speed and steering. Collectively, Li’s research bridges theoretical control methods with real-world robotic applications, offering scalable solutions for autonomous exploration and safe navigation in unknown environments.