Kunrui Ze
Papers
1
Total Citations
5
H-Index
1
About
Kunrui Ze is a robotics researcher whose work focuses on the critical challenge of enabling autonomous coordination in large-scale robot swarms without relying on external positioning infrastructure. His most-cited paper, "Concurrent-Learning Based Relative Localization in Shape Formation of Robot Swarms" (2025, 5 citations), tackles the practical problem of shape formation using only onboard sensors. Ze’s major contribution lies in developing a concurrent-learning framework that allows individual robots to estimate their relative positions to neighbors in real time, enabling the swarm to self-organize into desired geometric formations even in GPS-denied or communication-limited environments. This work addresses a long-standing gap in swarm robotics, where most existing solutions assume access to global localization or centralized control. By demonstrating that complex collective behaviors can emerge from purely local, onboard measurements, Ze has opened new possibilities for deploying robot swarms in underground, underwater, or extraterrestrial settings. His research is particularly notable for its emphasis on real-world applicability, bridging theoretical control theory with practical implementation challenges. As a rising scholar, Ze’s work is already influencing how researchers approach decentralized swarm coordination without external aids.
Research Focus
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Top Papers
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