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About us Practical matters How to find us M. (Ming) Cao, Prof

Research interests

multi-agent systems, complex systems and networks, distributed decision-making and coordination, cooperative control, adaptive control, human/robot interaction dynamics, robotic teams,

Google Scholar Profile: https://scholar.google.com/citations?user=hOEE_4sAAAAJ

Web of Science Profile: https://publons.com/researcher/2232450/ming-cao/

 

Publications

Collective patterns of social diffusion are shaped by individual inertia and trend-seeking

Creating underwater vision through wavy whiskers: A review of the flow sensing mechanisms and biomimetic potential of seal whiskers

Singularity-free guiding vector field for robot navigation

Learning enables adaptation in cooperation for multi-player stochastic games

Design of Privacy-Preserving Dynamic Controllers: Special Issue of "Security and Privacy of Distributed Algorithms and Network Systems"

Networks of conforming or nonconforming individuals tend to reach satisfactory decisions

Human Decision-Making in Multi-Agent Systems

Applications of the Poincare-Hopf Theorem: Epidemic Models and Lotka-Volterra Systems

Controlling Networks of Imitative Agents

Cooperative concurrent targeting for planar arrays of point sources

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Press/media

Regional newspaper interview: DvhN - robotics and the labour market

How a committed minority can change society

Samenwerkende robots krijgen in korte tijd veel meer gedaan

Natuur weet antwoord

Bij robots staat de functie voorop

Topregelaar

2016 European Control Award for Ming Cao

Sensorruis stuurt flexibele robots

Sensor noise guides flexible robots

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