Papers
5
Total Citations
26
H-Index
3
About
Zhaoyan Wang is a researcher at the forefront of multi-robot coordination and control, with a particular focus on achieving complex, multi-objective behaviors in networked robotic systems. Their work masterfully bridges theoretical control theory with practical applications, addressing the critical challenge of moving beyond simple single-target consensus to enable compound task control. A key contribution is the formulation of novel consensus frameworks, including cluster, bipartite, and ordered-bipartite consensus, which allow robot swarms to autonomously divide into subgroups for distinct, simultaneous objectives. Wang has also pioneered the use of pinning control and integral action to ensure robust convergence in these distributed systems. This foundational work, with papers accumulating over 25 citations, is complemented by impactful applied research. Notably, Wang has explored the thermal safety of robotic endoscopy in middle ear surgery and applied deep learning for object detection in robot football, demonstrating a unique ability to translate complex control algorithms into real-world robotic solutions.
Research Focus
Key Achievements
Top Papers
- 1Cluster Consensus in Multiple Lagrangian Systems Under Pinning Control10 citations · 2017
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