Papers
10
Total Citations
232
H-Index
4
About
Xinlei Chen is a leading researcher in embodied intelligence, multi-robot systems, and tactile sensing. His most impactful work includes the development of a flexible triboelectric tactile sensor capable of simultaneous material and texture recognition, a paper that has garnered 175 citations and opened new avenues for robotic haptic perception. Chen has also made significant contributions to autonomous navigation in challenging environments, notably with a path generation method for wheeled robots on vegetated terrain (31 citations) and the MR-COGraphs system for communication-efficient multi-robot open-vocabulary mapping. His research extends to high-speed object tracking using event cameras and depth fusion (EventTracker), swarm robot coordination through mean-field control, and proactive wildfire suppression via multi-UAV scheduling (FireHunter). Additionally, Chen has explored the integration of large language models with 3D spatial reasoning, surveying how LLMs can be endowed with spatial capacity. His work consistently pushes the boundaries of how robots perceive, navigate, and collaborate in complex, unstructured environments, making him a pivotal figure in modern robotics and embodied AI.
Research Focus
Key Achievements
Top Papers
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- 4How to Enable LLM with 3D Capacity? A Survey of Spatial Reasoning in LLM4 citations · 2025
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