Hengyang Kuang

Chongqing University of Posts and Telecommunications

Papers

Total Citations

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About

Dr. Hengyang Kuang is a leading researcher in mobile robotics, specializing in intelligent path planning and robust localization for complex indoor environments. His work directly tackles the critical challenge of enabling robots to navigate efficiently and reliably in large-scale, feature-sparse spaces. Dr. Kuang’s most impactful contribution is his improved A-star algorithm, which integrates topological maps to dramatically enhance path planning efficiency in expansive indoor scenes, a paper that has garnered 13 citations. He further advances the field by addressing the notorious "kidnapped robot problem" in similar-looking environments. His research on a semantic grid map-assisted localization method, cited 5 times, significantly improves the robustness of the adaptive Monte Carlo localization (AMCL) algorithm. By fusing 2D lidar data with semantic information, Dr. Kuang’s approach enables robots to maintain accurate positioning even when visual features are ambiguous. These achievements demonstrate his pivotal role in pushing the boundaries of autonomous navigation, making his work essential reading for students and researchers focused on creating truly autonomous mobile robots for real-world applications.