Jiajia Kong

University of Science and Technology of China

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About

Jiajia Kong is an emerging researcher specializing in autonomous mobile robotics, with a particular focus on path planning algorithms and real-time navigation systems. Their work addresses some of the most pressing challenges in robotic mobility, including optimal global path planning and dynamic obstacle avoidance in complex environments. Kong's most recognized contribution, "Path Planning of Mobile Robots Based on the Fusion of an Improved A* Algorithm and a Dynamic Window Approach" (2023), has garnered 10 citations in a short period, demonstrating rapid uptake within the robotics research community. This work introduces an innovative hybrid methodology that combines an enhanced A* algorithm with the Dynamic Window Approach (DWA), bridging the gap between global path optimization and real-time responsiveness — a longstanding challenge in robot navigation. Beyond outdoor and open-environment navigation, Kong has also extended their research to indoor robotics, developing an optimized D* Lite algorithm tailored for height-adjustable autonomous mobile robots. This work tackles the nuanced problem of height coordination and heuristic function refinement in constrained indoor settings. Though early in their research career, Kong's focused and technically rigorous contributions position them as a promising voice in the field of intelligent robotic navigation and autonomous systems research.