Yiu-Wing Leung

Papers

Total Citations

133

H-Index

About

Yiu-Wing Leung is a leading researcher in swarm robotics and robotic sensor networks, whose work has fundamentally advanced how autonomous robot collectives move and coordinate. His most influential contributions center on developing algorithms for collective motion and movement control in multi-robot systems. In his highly cited 2018 paper (71 citations), Leung introduced a self-adaptive approach enabling robot swarms to maintain cohesive, connectivity-preserving movement along preplanned paths—a critical capability for real-world deployment. Earlier, his 2010 work (62 citations) addressed the challenge of bi-connectivity in robotic sensor networks, proposing a simple yet powerful movement control algorithm that allows robots to autonomously reposition for optimal sensing coverage. This research bridges the gap between theoretical swarm intelligence and practical applications, demonstrating how robots can dynamically adjust their positions to maintain robust network connectivity while performing data collection tasks. Leung's work has been instrumental in advancing the field of distributed robotics, providing foundational methods that enable swarms to operate reliably in complex environments. His algorithms continue to influence subsequent research on autonomous coordination, connectivity maintenance, and adaptive collective behavior in multi-robot systems.