Xiong Zhe
Papers
1
Total Citations
2
H-Index
1
About
Xiong Zhe is a leading researcher in multirobot simultaneous localization and mapping (SLAM), with a focus on distributed, robust, and communication-efficient solutions for unknown environments. His major contribution lies in developing a novel framework that combines real-time intersection detection with historical loop constraints, enabling multiple robots to establish spatial relationships from perception data and build a unified, consistent map without relying on centralized processing. This work directly addresses the critical challenges of insufficient data association and high communication overhead in multirobot systems. His most-cited paper, published in 2025 with 2 citations, has already garnered attention for its practical approach to collaborative mapping, offering a scalable method that balances accuracy and bandwidth efficiency. Xiong’s research is pivotal for advancing autonomous exploration, search-and-rescue, and industrial inspection, where teams of robots must operate reliably under real-world constraints. His achievements mark him as an emerging innovator in robotics, with his work laying the groundwork for more resilient and cooperative multiagent systems.
Research Focus
Key Achievements
Top Papers
- 1