Jiahao Tang
Papers
3
Total Citations
83
H-Index
3
About
Jiahao Tang is a leading researcher in multi-robot systems, specializing in autonomous exploration, collaborative perception, and communication-efficient mapping for unknown and communication-restricted environments. His major contributions include pioneering topological map-based exploration strategies that enable robust multi-robot coordination under limited bandwidth, and developing Gaussian Mixture Model (GMM) mapping frameworks that drastically reduce inter-robot data exchange while maintaining high-fidelity environmental reconstruction. Tang’s work on MR-TopoMap (55 citations) addresses the critical bottleneck of communication constraints in multi-robot exploration, while his MR-GMMapping system (21 citations) introduces a novel approach to efficient collaborative mapping. Most recently, his MR-COGraphs system (2025) integrates foundation models for open-vocabulary 3D scene graph mapping, allowing robots to achieve semantic understanding alongside geometric perception. This work represents a significant leap toward intelligent, language-guided multi-robot teams. With over 80 total citations and a growing influence in robotics, Tang’s research is shaping the future of autonomous systems operating in challenging, real-world environments.
Research Focus
Key Achievements
Top Papers
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