Papers

3

Total Citations

303

H-Index

3

About

Zhenxiong Li is a leading researcher in the field of autonomous robotics, with a primary focus on Simultaneous Localization and Mapping (SLAM) technology. His work spans the evolution of SLAM from traditional sensor-based approaches to cutting-edge semantic and multi-robot collaborative systems. Li’s most influential contribution is his comprehensive 2022 overview, "An Overview on Visual SLAM: From Tradition to Semantic," which has garnered 202 citations and serves as a foundational reference for researchers navigating the transition from classical visual SLAM to semantically aware systems capable of operating in challenging environments. He further advanced the field with his work on heterogeneous sensor fusion, synthesizing LIDAR and visual SLAM technologies to enhance robustness in both military and civilian applications. His recent 2023 review on multi-robot collaborative SLAM addresses critical challenges in large-scale mapping, including cost reduction and error accumulation. With over 300 total citations across his key publications, Li has established himself as a vital synthesizer of SLAM knowledge, providing researchers and engineers with essential roadmaps for developing more resilient, scalable, and intelligent autonomous navigation systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
303
Total Citations
101
Avg Citations/Paper
🏆 Most Cited Paper
An Overview on Visual SLAM: From Tradition to Semantic
202 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Nanjing University of Information Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago