Shicai Liu
Papers
3
Total Citations
8
H-Index
2
About
Shicai Liu is a researcher in robotics and autonomous systems, with a primary focus on vision-based formation control for mobile robots. His work addresses the challenge of enabling multiple robots to coordinate their movements without relying on global sensing or inter-robot communication—a critical step toward scalable, decentralized multi-agent systems. Liu’s major contributions include developing formation control algorithms that utilize relative motion sensory systems, such as pan/tilt camera vision, to estimate and maintain desired formations. His 2005 paper, "Vision-based formation control of mobile robots with relative motion states," introduces a method that leverages velocity variations rather than absolute positioning, while his 2006 follow-up applies three-point perspective pose estimation for holonomic robots. Although his most-cited papers have accumulated modest citation counts (3, 3, and 2 citations respectively), their significance lies in pioneering decentralized visual servoing techniques that reduce hardware and communication overhead. This work has implications for applications like search-and-rescue, environmental monitoring, and industrial automation, where robust, low-cost coordination is essential. Liu’s research remains a foundational reference for engineers exploring vision-driven multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Vision-based formation control of mobile robots2 citations · 2005