Shaohao Zhai

Wuhan Municipal Engineering Design & Research Institute, Australian National University, Eindhoven University of Technology

Papers

Total Citations

117

H-Index

About

Shaohao Zhai’s research focuses on the distributed control and coordination of robotic swarms, with a particular emphasis on vision-based formation control. His major contribution lies in developing a practical framework that enables robots to estimate depth and maintain formation using only a single, non-sophisticated camera—eliminating the need for expensive or complex sensors. His seminal 2012 paper, “Single-View Distance-Estimation-Based Formation Control of Robotic Swarms,” has garnered 106 citations, reflecting its impact as a foundational approach in the field. Zhai’s work systematically addresses key challenges, including obstacle avoidance and real-world implementation, as detailed in companion studies from 2008. By leveraging prior knowledge of robot and object heights, his method allows each agent to independently estimate distances and adjust its motion, enabling scalable and practical swarm behavior. This body of work is particularly notable for bridging theoretical control design with practical sensing constraints, offering a cost-effective solution for multi-robot systems. Zhai’s contributions are essential reading for researchers interested in minimal-sensing approaches to swarm robotics and distributed autonomous systems.