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About

Dingji Luo is a robotics researcher whose work centers on intelligent control systems, autonomous navigation, and human-robot interaction for mobile and rehabilitation robots. His most impactful contribution, "Autonomous motion and control of lower limb exoskeleton rehabilitation robot" (21 citations), introduces adaptive gait planning and multimodal control strategies that enhance patient participation in rehabilitation therapy—a critical advance for assistive robotics. Luo also developed the globally and dynamically optimal trajectory planning method (OTPWR) for wheeled robots and the W-VSLAM visual mapping algorithm, both designed to improve the precision and robustness of indoor inspection robots. His work on Active Disturbance Rejection Control for trajectory tracking addresses real-world challenges in minimizing angle and distance deviations during autonomous navigation. Additionally, Luo has contributed to intelligent watering robots and pedestrian detection algorithms, showcasing the breadth of his applied robotics expertise. With over 39 total citations across his most-cited papers, Luo’s research is steadily gaining recognition for its practical impact on rehabilitation technology and autonomous mobile systems.