Papers
6
Total Citations
32
H-Index
4
About
Yiran Cao is a robotics and control systems researcher whose work spans two compelling domains: advanced robotic mechanisms and multi-agent systems theory. His earlier contributions focused on the challenging problem of consensus control in multi-agent systems (MAS) affected by time delays. Through a series of publications from 2015 to 2017, Cao developed predictor-based compensation strategies and synchronization frameworks that enabled coordinated control of networked integrator systems and mobile robots under realistic delay conditions, accumulating over 20 citations across these foundational works. More recently, Cao has pivoted toward cutting-edge robotic hardware design, with a particular focus on aerospace maintenance and minimally invasive applications. His 2024 work on a rigid-flexible coupling hybrid robot — designed specifically for in situ repair of aeroengine blades — represents a significant engineering contribution, addressing the formidable challenge of performing precision repairs without disassembling jet engines. Complementing this, Cao has pioneered novel continuum robot architectures featuring offset cross revolute joints, enabling dexterous access to confined and unstructured environments. Together, his research bridges rigorous control theory with innovative mechanical design, positioning him as a versatile contributor to next-generation intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2Consensus Control for a Multiagent System with Time Delays7 citations · 2017
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