Liuchun Li

Wuhan University

Papers

4

Total Citations

14

H-Index

3

About

Liuchun Li is a pioneering researcher in multi-robot autonomous exploration and collaborative perception, with a focus on non-exposed, GPS-denied environments such as underground tunnels, disaster zones, and planetary subsurface habitats like lunar lava tubes and Martian caves. Their major contributions include developing the LuoJia-Explorer system, which integrates multimodal LiDAR sensors for efficient collaborative mapping, and introducing ATCM, an aerial–terrestrial LiDAR-based collaborative SLAM framework that overcomes challenges in heterogeneous robot loop closure and global consistency. Li also created Easy Rocap, a low-cost, easy-to-use motion capture system for drones that mitigates issues of light noise and camera occlusion. With over 14 citations across their most-cited works, Li’s research directly addresses critical bottlenecks in spatial intelligence for unmanned systems, advancing both theoretical foundations and practical deployment. Their work is particularly notable for enabling robust, real-time exploration and mapping in extreme environments where traditional navigation fails, positioning Li as a key innovator in the field of autonomous robotics and multi-agent systems.

Research Focus

Key Achievements

3
H-Index
4
Papers
14
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent multi-robot exploration in non-exposed spaces: methods and challenges
5 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Wuhan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago