Ruiquan Liao
Papers
1
Total Citations
107
H-Index
1
About
Ruiquan Liao is a leading figure in networked robotic systems and distributed control, with a focus on advancing the precision and resilience of multi-agent coordination. His most-cited work, "Distributed controller–estimator for target tracking of networked robotic systems under sampled interaction" (2016), has garnered 107 citations, reflecting its foundational impact on the field. In this seminal paper, Liao addresses a critical challenge: enabling robotic networks to collaboratively track moving targets despite intermittent, sampled-data communication. He introduces a novel distributed controller-estimator framework that decouples estimation and control, allowing each robot to locally predict target motion while maintaining global coordination under bandwidth constraints. This contribution is pivotal for applications in autonomous surveillance, search-and-rescue, and industrial automation, where reliable tracking without continuous data exchange is essential. Liao’s work stands out for its rigorous theoretical guarantees on stability and convergence, bridging the gap between ideal continuous-time models and practical sampled-interaction systems. His research not only advances fundamental control theory but also provides scalable solutions for real-world robotic swarms, making him a key innovator in distributed intelligence and networked autonomy.
Research Focus
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Top Papers
- 1