Zhe Ban
Papers
2
Total Citations
29
H-Index
2
About
Zhe Ban is a researcher in swarm robotics, with a primary focus on self-organised flocking mechanisms for multi-robot systems. Their work addresses the challenge of achieving collision-free, coordinated movement in robot swarms—a behaviour inspired by natural flocking in birds and fish. Ban’s major contribution lies in developing scalable, decentralised algorithms that enable heterogeneous robot swarms to self-organise without central control, significantly advancing the practical deployment of low-cost robotic solutions in domains like agri-robotics. Their most-cited paper, "Self-Organised Collision-Free Flocking Mechanism in Heterogeneous Robot Swarms" (2021), has garnered 25 citations, reflecting its impact on the field. Ban has also explored homogeneous swarm dynamics in "Self-organised Flocking with Simulated Homogeneous Robotic Swarm" (2021). By bridging theoretical models with real-world applications, Ban’s research offers a foundation for robust, autonomous exploration and environmental monitoring using affordable robotic platforms—a critical step toward sustainable automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Self-organised Flocking with Simulated Homogeneous Robotic Swarm4 citations · 2021