Papers
2
Total Citations
33
H-Index
2
About
Yating Zheng is a leading researcher in swarm robotics, whose work focuses on achieving robust, bio-inspired collective behavior without reliance on global information or explicit communication. Her key contributions lie in developing and validating control algorithms that enable groups of autonomous robots to self-organize using only local sensory data. In her highly cited 2020 paper (21 citations), Zheng systematically analyzed the experimental capabilities and limitations of a position-based control algorithm, providing a critical framework for understanding how simple states of collective motion—such as group translation and rotation—can be reliably achieved in real-world scenarios. Building on this foundation, her 2025 work (12 citations) introduced a purely vision-based approach to collective movement, directly addressing vulnerabilities in robot swarms that depend on global positioning or communication. By demonstrating that robots can coordinate movement using only local visual cues, Zheng has advanced the development of more resilient, scalable, and truly bio-inspired swarm systems. Her research bridges the gap between theoretical models and practical implementation, offering essential insights for students and engineers working on autonomous multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Purely vision-based collective movement of robots12 citations · 2025