Papers
3
Total Citations
104
H-Index
3
About
Haolin Dong is a leading researcher in multi-robot systems, specializing in collaborative exploration, distributed mapping, and efficient communication in unknown environments. His work addresses the critical challenge of enabling teams of robots to autonomously explore and map areas without external positioning, even under limited communication constraints. Dong’s major contributions include the development of the SMMR-Explore system, which integrates a SubMap-based framework with a multi-robot multi-target potential field method for coordinated exploration, cited over 80 times. He also pioneered MR-GMMapping, a communication-efficient approach using Gaussian Mixture Models (GMMs) to reduce data transfer while maintaining high mapping accuracy, and GAME, which implements GMM-based mapping on embedded FPGA hardware for real-time 3D mapping. His research has been recognized for its practical impact on search-and-rescue, environmental monitoring, and autonomous navigation, with cumulative citations exceeding 100. Dong’s work stands out for its innovative fusion of probabilistic models with multi-robot coordination, offering scalable solutions that push the boundaries of autonomous systems in GPS-denied environments.
Research Focus
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