Zhentan Zheng

Beijing Academy of Artificial Intelligence

Papers

1

Total Citations

4

H-Index

1

About

Dr. Zhentan Zheng is a leading researcher in multi-robot systems and indoor localization, with a focus on solving the kidnapped robot problem (KRP)—a critical challenge where mobile robots lose global positioning in dynamic environments. His most cited work, "Multi-L: A Novel Multi-Robot Cooperative Localization Method in Indoor Environment" (2022), introduces an innovative cooperative framework that enables robots to detect catastrophic localization failures and collaboratively recover, overcoming the limitations of single-sensor views. This contribution has garnered 4 citations and represents a significant step toward robust, fault-tolerant autonomous navigation. Dr. Zheng’s research bridges theoretical advances in sensor fusion and distributed robotics with practical applications in industrial automation and smart environments. His work is particularly notable for addressing real-world deployment hurdles, such as dynamic obstacles and sensor degradation, making multi-robot teams more resilient. As a rising voice in the field, Dr. Zheng continues to push the boundaries of cooperative perception, with future implications for search-and-rescue missions and autonomous logistics.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Multi-L: A Novel Multi-Robot Cooperative Localization Method in Indoor Environment
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Beijing Academy of Artificial Intelligence

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago