Hongming Shen
Papers
5
Total Citations
31
H-Index
3
About
Hongming Shen is an emerging robotics researcher whose work spans autonomous navigation, multi-robot systems, and sensor-based localization — fields that sit at the intersection of machine learning, perception, and control theory. His most recognized contribution, "You Only Plan Once" (2024, 14 citations), introduces a pioneering end-to-end learning-based planner for quadrotors that elegantly unifies perception, path searching, and trajectory optimization into a single neural network, eliminating the need for explicit environmental maps. This work represents a significant step toward truly integrated autonomous flight in cluttered environments. Shen has also advanced multi-robot coordination through a distributed task allocation algorithm leveraging Weighted Buffered Voronoi Partitions, addressing real-world logistics challenges such as disaster relief supply dispatch. His research in localization is equally notable: his magnetic field-based approaches — both infrastructure-free drift-free localization and magnetic-enhanced multi-session mapping — offer practical, cost-effective alternatives to infrastructure-dependent systems. His most recent work on unified LiDAR global localization further demonstrates his commitment to sensor-agnostic, generalizable solutions. Collectively, Shen's research portfolio reflects a rigorous and forward-thinking approach to making autonomous robots more capable, adaptable, and deployable in real-world settings.
Research Focus
Key Achievements
Top Papers
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