Gaoming Chen
Papers
2
Total Citations
13
H-Index
2
About
Gaoming Chen is a rising researcher in robotics, specializing in multi-robot systems, topological mapping, and mutual localization. His work addresses critical challenges in autonomous navigation and collaborative perception, particularly for resource-constrained robots. Chen’s most notable contribution is the FHT-Map (Feature-Based Hybrid Topological Map), which bridges the gap between compact topological maps and robust geometric mapping. This innovation enables efficient relocalization and path planning, achieving 11 citations since its 2024 publication. He also introduced RHAML (Rendezvous-Based Hierarchical Architecture for Mutual Localization), a framework that allows marker-less robots to perform mutual localization using limited onboard sensors, overcoming scale variation issues. Though early in his career, Chen’s work has already garnered attention for its practical impact on multi-robot coordination. His research is particularly valuable for applications in search-and-rescue, environmental monitoring, and swarm robotics, where efficient mapping and localization are paramount. With a focus on scalable, real-time solutions, Chen is establishing himself as a key contributor to the next generation of autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2