Cao, prof. dr. ir. Ming
Ming Cao is hoogleraar Netwerken en Robots aan de Faculty of Science and Engineering. In zijn onderzoek richt hij zich op multi-agent systems, complexe systemen en netwerken, sensornetwerken en autonome robots. Cao verricht baanbrekend werk op het gebied van controlesystemen die groepen autonome robots laten samenwerken. Om autonome auto’s en robots veilig en effectief te laten functioneren, moeten zij rekening houden met elkaars handelen. Ming Cao werkt aan deze ontwikkeling met collega’s uit de sociologie, wiskunde en biologie. Op deze manier ontwikkelt hij algoritmen voor de robots die deels geïnspireerd zijn op de bewegingen van dieren, vooral vissen en vogels die ook in formatie handelen. Ming Cao is verder benoemd tot directeur van de Jantina Tammes School of Digital Society, Technology and AI, het interdisciplinaire platform gericht op digitale innovatie, kunstmatige intelligentie en technologische vooruitgang.
Research Minute Young Academy Groningen - Ming Cao
Cao behaalde in 1999 zijn Bachelor of Engineering aan de Tsinghua University in Peking, China. Vervolgens behaalde hij in 2002 zijn Master of Engineering aan dezelfde universiteit. In 2003 behaalde hij daarnaast zijn Master of Science aan Yale University in New Haven, Verenigde Staten en in 2007 ontving hij zijn PhD bij het Department of Electrical Engineering van Yale University. In 2023 ontving Cao een Vici-beurs voor zijn onderzoek naar besluitvorming van autonome robots.
Eerder in het nieuws
2024
Xie,
A., Yi, X., Wang, X., Cao, M., & Ren, X.
(2024). A Communication-Efficient Stochastic Gradient Descent
Algorithm for Distributed Nonconvex Optimization. In
2024 IEEE 18th International Conference on Control and
Automation, ICCA 2024 (pp. 609-614). (IEEE International
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Riehl,
J., Ramazi, P., & Cao, M. (2024).
Controlling Networks of Imitative Agents.
IEEE Transactions on Network Science and
Engineering, 11(1), 1293-1302. https://doi.org/10.1109/TNSE.2023.3321833
Ramazi,
P., Zhang, F., & Cao, M. (2024). Cooperative
concurrent targeting for planar arrays of point sources.
Automatica, 159, Article 111357. https://doi.org/10.1016/j.automatica.2023.111357
Hu,
B. B., Zhang, H. T., Yao, W., Sun, Z., &
Cao, M. (2024). Coordinated Guiding Vector Field
Design for Ordering-Flexible Multi-Robot Surface Navigation.
IEEE Transactions on Automatic Control,
69(7), 4805-4812. https://doi.org/10.1109/TAC.2024.3355321
Cui,
S., Liu, F., Jardón-Kojakhmetov, H.,
& Cao, M. (2024). Discrete-time layered-network
epidemics model with time-varying transition rates and multiple
resources. Automatica, 159,
Article 111303. https://doi.org/10.1016/j.automatica.2023.111303
Zhang,
K., Yi, X., Li, Y., Cao, M., Chai, T., & Yang, T.
(2024). Distributed online constrained convex optimization
with event-triggered communication. European
Journal of Control, Article 101042. Advance online
publication. https://doi.org/10.1016/j.ejcon.2024.101042
Wang,
S., Yao, W., Cao, M., & Chen, X.
(2024). Evolutionary Dynamics under Periodic Switching of
Update Rules on Regular Networks. IEEE
Transactions on Network Science and Engineering,
11(1), 1337-1346. https://doi.org/10.1109/TNSE.2023.3322293
Qi,
R., Yntema, D., & Cao, M. (2024).
Experimental findings of underwater capacitive
imaging. IEEE Sensors Journal. Advance
online publication. https://doi.org/10.1109/JSEN.2024.3475479
Zhou,
Y., Liu, Y., Zhao, Y., Cao, M., & Chen, G. (2024).
Fully distributed prescribed-time bipartite synchronization
of general linear systems: An adaptive gain scheduling
strategy. Automatica, 161,
Article 111459. https://doi.org/10.1016/j.automatica.2023.111459
Tekin,
E., Cao, M., & Kottapalli, A. G.
P. (Accepted/In press). High-Precision Fabrication
of Graphene Nanoplatelet-Based Piezoresistive Strain Sensors Using
PµSL 3D Printing Technology. Paper presented at
IEEE Sensors 2024, Kobe, Japan.
Qi,
R., Yntema, D., Lei, G., & Cao, M. (2024).
Local Maximum Capacitance At Non-Zero Lift-Off for Underwater
Capacitive Sensing. IEEE Sensors
Letters, 8(8), Article 1502104. https://doi.org/10.1109/LSENS.2024.3421634
Liu,
Z., & Cao, M. (2024). Local Stability
Analysis for Tensegrity-Based Multi-Agent Formations. In
13th International Workshop on Robot Motion and Control, RoMoCo
2024 - Proceedings (pp. 130-135). Institute of Electrical and
Electronics Engineers Inc.. https://doi.org/10.1109/RoMoCo60539.2024.10604332
Cui,
S., Zhang, G., Jardon-Kojakhmetov, H.,
& Cao, M. (2024). On Discrete-Time Polynomial
Dynamical Systems On Hypergraphs. IEEE Control
Systems Letters, 8, 1078-1083. https://doi.org/10.1109/LCSYS.2024.3406597
Zino,
L., Giardini, F., Vilone, D., & Cao,
M. (2024). On modeling collective risk perception via
opinion dynamics. European Journal of
Control, Article 101036. Advance online publication. https://doi.org/10.1016/j.ejcon.2024.101036
Hoffmann,
T., Ye, M., Zino, L., Cao,
M., Rauws, W., & Bolderdijk, J.
W. (2024). Overcoming inaction: An agent-based
modelling study of social interventions that promote systematic
pro-environmental change. Journal of Environmental
Psychology, 94, Article 102221. https://doi.org/10.1016/j.jenvp.2023.102221
Liu,
L., Kawano, Y., & Cao, M. (2024).
Privacy Analysis for Quantized Networked Control
Systems. In Proceedings of the 62nd IEEE Conference on
Decision and Control (CDC 2023) (pp. 5073-5078). IEEE. https://doi.org/10.1109/CDC49753.2023.10383486
Qi,
R., Cao, M., & Yntema, D. (2024).
Recent Developments of Subsurface Small-Leak Detection
Techniques in Water Distribution Networks: A Review.
IEEE Robotics and Automation Magazine,
31(1), 108 - 118. https://doi.org/10.1109/MRA.2024.3351483
Martirosyan,
E., & Cao, M. (2024). Reinforcement
learning for inverse linear-quadratic dynamic non-cooperative
games. Systems and Control Letters,
191, Article 105883. https://doi.org/10.1016/j.sysconle.2024.105883
Mlakar,
Z., Bolderdijk, J. W., Risselada,
H., Fennis, B. M., Ye, M., Zino,
L., & Cao, M. (Accepted/In press).
Social tipping games: Experimental paradigms for studying
consumer movements. Journal of the Association of
Consumer Research. https://doi.org/10.1086/731916
Cui,
S., Qi, Z., Jardon Kojakhmetov, H., &
Cao, M. (2024). Species Coexistence and Extinction
Resulting from Higher-Order Lokta-Volterra Two-Faction
Competition. In Proceedings of the 62nd IEEE Conference
on Decision and Control (CDC2023) (pp. 467-472). IEEE. https://doi.org/10.1109/CDC49753.2023.10384227
Ramazi,
P., Cao, M., & Scherpen, J. M. A.
(2024). Tightening Poincaré–Bendixson theory after
counting separately the fixed points on the boundary and interior
of a planar region. Electronic Journal of
Qualitative Theory of Differential Equations,
2024, Article 29. https://doi.org/10.14232/EJQTDE.2024.1.29
Ong,
L., Cao, M., Verkerke, G.
J., Lamoth, C. J. C., & Wilhelm,
E. (2024). Unobtrusive machine learning based leg
position detection during seated office work. In 2024
IEEE International Symposium on Medical Measurements and
Applications, MeMeA 2024 - Proceedings (2024 IEEE
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MeMeA 2024 - Proceedings). Institute of Electrical and Electronics
Engineers Inc.. https://doi.org/10.1109/MeMeA60663.2024.10596924
Newman,
L. A., Cao, M., Täuber, S., &
van Vugt, M. (2024). Working memory load impairs tacit
coordination but not inter-brain EEG synchronization.
Social Cognitive and Affective Neuroscience,
19(1), Article e017. https://doi.org/10.1093/scan/nsae017
2023
Zhang,
C., Yang, H., Jiang, B., & Cao,
M. (2024). Flocking Control Against Malicious
Agent. IEEE Transactions on Automatic
Control, 69(5), 3278-3285. https://doi.org/10.1109/TAC.2023.3319549
Kamat,
A. M., Zheng, X. Z., Bos, J., Cao,
M., Triantafyllou, M., & Kottapalli, A. G.
P. (2024). Undulating Seal Whiskers Evolved Optimal
Wavelength-to-Diameter Ratio for Efficient Reduction in
Vortex-Induced Vibrations. Advanced
science , 11(2), Article 2304304. https://doi.org/10.1002/advs.202304304
Qiu,
M., Liu, D., Baldi, S., Yin, G., Yu, W., & Cao, M.
(2024). Vehicular Platooning on Curved Paths Considering
Collision Avoidance and String Stability. IEEE
Transactions on Network Science and Engineering,
11(2), 1896-1908. https://doi.org/10.1109/TNSE.2023.3333027
Chen,
L., & Cao, M. (2023). Angle Rigidity
for Multi-Agent Formations in 3D. IEEE
Transactions on Automatic Control, 68(10),
6130-6145. https://doi.org/10.1109/TAC.2023.3237799
Frieswijk,
K., Zino, L., & Cao, M.
(2023). A Polarized Temporal Network Model to Study the
Spread of Recurrent Epidemic Diseases in a Partially Vaccinated
Population. IEEE Transactions on Network Science
and Engineering, 10(6), 3732 - 3743. https://doi.org/10.1109/TNSE.2023.3272472
Lindamulage
De Silva, O., Varma, V. S., Cao, M., Morarescu, I. C.,
& Lasaulce, S. (2023). A Stackelberg Viral Marketing
Design for Two Competing Players. IEEE Control
Systems Letters, 7, 2922-2927. https://doi.org/10.1109/LCSYS.2023.3291421
Aghbolagh,
H. D., Ye, M., Zino, L., Chen, Z.,
& Cao, M. (2023). Coevolutionary Dynamics of
Actions and Opinions in Social Networks. IEEE
Transactions on Automatic Control, 68(12),
7708-7723. https://doi.org/10.1109/TAC.2023.3290771
Xie,
A., Yi, X., Wang, X., Cao, M., & Ren, X.
(2023). Compressed Differentially Private Distributed
Optimization with Linear Convergence. In Proceedings of
the IFAC World Congress 2023 (pp. 8369-8374).
(IFAC-PapersOnLine; Vol. 56, No. 2). Elsevier. https://doi.org/10.1016/j.ifacol.2023.10.1029
Ayoobi,
H., Kasaei, H., Cao, M.,
Verbrugge, R., & Verheij, B. (2023).
Explain What You See: Open-Ended Segmentation and Recognition
of Occluded 3D Objects. In ICRA 2023- International
Conference on Robotics and Automation (pp. 4960-4966). IEEE.
https://doi.org/10.1109/ICRA48891.2023.10160927
Yu,
B., Kasaei, H., & Cao, M.
(2023). Frontier Semantic Exploration for Visual Target
Navigation. arXiv. https://doi.org/10.48550/arXiv.2304.05506
Martirosyan,
E., & Cao, M. (2023). Inverse
reinforcement learning for identification of linear–quadratic
zero-sum differential games. Systems & Control
Letters, 172, Article 105438. https://doi.org/10.1016/j.sysconle.2022.105438
Yu,
B., Kasaei, H., & Cao, M.
(2023). L3MVN: Leveraging Large Language Models for Visual
Target Navigation. In 2023 IEEE/RSJ International
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Frieswijk,
K., Zino, L., Cao, M., &
Morse, A. S. (2023). Modeling the Co-Evolution of Climate
Impact and Population Behavior: A Mean-Field Analysis . In
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Li,
J., Chen, L., Cao, M., & Li, C.
(2023). Satellite Formation Flying Control by Using Only
Angle Measurements. IEEE Transactions on Aerospace
and Electronic Systems, 59(2), 1439-1451. https://doi.org/10.1109/TAES.2022.3200345
Zino,
L., & Cao, M. (2023). Social
Diffusion Dynamics in Cyber–Physical–Human
Systems. In Cyber–Physical–Human Systems:
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Hu,
B. B., Zhang, H. T., Yao, W., Ding, J., &
Cao, M. (2023). Spontaneous-Ordering Platoon Control
for Multirobot Path Navigation Using Guiding Vector Fields.
IEEE Transactions on Robotics,
39(4), 2654-2668. https://doi.org/10.1109/TRO.2023.3266994
Venegas-Pineda,
L. G., Jardón-Kojakhmetov, H., &
Cao, M. (2023). Stable chimera states: A geometric
singular perturbation approach. Chaos,
33(11), Article 113123. https://doi.org/10.1063/5.0142122
Yao,
W., Lin, B., Anderson, B. D. O., &
Cao, M. (2023). The Domain of Attraction of the
Desired Path in Vector-Field Guided Path Following.
IEEE Transactions on Automatic Control,
68(11), 6812-6819. https://doi.org/10.1109/TAC.2023.3239431
2022
Su,
Y., Wang, Z., Cao, M., Jia, M., & Liu, F. (2023).
Convergence Analysis of Dual Decomposition Algorithm in
Distributed Optimization: Asynchrony and Inexactness.
IEEE Transactions on Automatic Control,
68(8), 4767 - 4782. https://doi.org/10.1109/TAC.2022.3213608
Yao,
W. Y., Garcia de Marina Peinado, H., Sun, Z., &
Cao, M. (2023). Guiding Vector Fields for the
Distributed Motion Coordination of Mobile Robots.
IEEE Transaction on Robotics, 39(2),
1119-1135. https://doi.org/10.1109/TRO.2022.3224257
Yao,
W., Lin, B., Anderson, B. D. O., &
Cao, M. (2023). Topological Analysis of Vector-Field
Guided Path Following on Manifolds. IEEE
Transactions on Automatic Control, 68(3), 1353
- 1368. https://doi.org/10.1109/TAC.2022.3151236
Zheng,
X. Z., Kamat, A. M., Cao,
M., & Kottapalli, A. G. P. (2023).
Wavy Whiskers in Wakes: Explaining the Trail-Tracking
Capabilities of Whisker Arrays on Seal Muzzles.
Advanced science , 10(2), Article
202203062. https://doi.org/10.1002/advs.202203062
Zheng,
X. Z., Kamat, A. M., Krushynska,
A., Cao, M., & Kottapalli, A. G.
P. (2022). 3D Printed Graphene Piezoresistive
Microelectromechanical System Sensors to Explain the Ultrasensitive
Wake Tracking of Wavy Seal Whiskers. Advanced
Functional Materials, 32(47), Article 2207274.
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Frieswijk,
K., Zino, L., Ye, M., Cao, M.,
& Rizzo, A. (2022). A mean-field analysis of a network
behavioural–epidemic model. IEEE Control
Systems Letters, 6, 2533-2538. https://doi.org/10.1109/LCSYS.2022.3168260
Kawano,
Y., & Cao, M. (2022). Contraction analysis
of virtually positive systems. Systems and Control
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Jin,
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Facilitating innovation diffusion in social networks using
dynamic norms. PNAS Nexus,
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Zino,
L., Tortasso, E., Ye, M., Cao, M.,
& Rizzo, A. (2022). Game-theoretic model for human
decision-making during epidemics: Application and validation on
COVID-19 in Italy. Abstract from Netsci-X 2022, Porto,
Portugal.
Yao,
W. Y., Lin, L., Anderson, B. D. O., &
Cao, M. (2022). Guiding Vector Fields for Following
Occluded Path. IEEE-Transactions on Automatic
Control, 67(8), 4091 - 4106. https://doi.org/10.1109/TAC.2022.3179215
Zino,
L., Ye, M., Mlakar, Z., Bolderdijk, J.
W., Risselada, H., Fennis, B.
M., & Cao, M. (2022).
Incentivizing social diffusion on networks using a novel
game-theoretic model. Abstract from Netsci-X 2022,
Porto, Portugal.
Martirosyan,
E., & Cao, M. (2022). Inverse
Learning for Linear-quadratic Zero-sum Differential
Games. Abstract from 41st Benelux meeting on Systems
and Control 2022, Brussels, Belgium.
Gong,
L., Yao, W. Y., Gao, J.,
& Cao, M. (2022). Limit cycles analysis and
control of evolutionary game dynamics with environmental
feedback. Automatica, 145(8),
Article 110536. https://doi.org/10.1016/j.automatica.2022.110536
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(ECC).
Frieswijk,
K., Zino, L., & Cao, M.
(2022). Modelling the Effect of Vaccination and Human
Behaviour on the Spread of Epidemic Diseases on Temporal
Networks. In 2022 European Control Conference (ECC)
(pp. 2291-2296). IEEE. https://doi.org/10.23919/ECC55457.2022.9838287
Portoles,
O., Qin, Y., Hadida, J., Woolrich, M.,
Cao, M., & van Vugt, M. (2022).
Modulations of local synchrony over time lead to
resting-state functional connectivity in a parsimonious large-scale
brain model. PLoS ONE, 17(10
October), Article e0275819. https://doi.org/10.1371/journal.pone.0275819
Ayoobi,
H., Cao, M., Verbrugge, R.,
& Verheij, B. (2022). Online Incremental
Learning with Abstract Argumentation Frameworks. 65-80.
Paper presented at 1st Workshop on Argumentation and Machine
Learning, ArgML 2022, Cardiff, United Kingdom.
Lin,
B., Yao, W. Y., & Cao, M.
(2022). On Wilson’s theorem about domains of attraction
and tubular neighborhoods. Systems & Control
Letters, 167(7), Article 105322. https://doi.org/10.1016/j.sysconle.2022.105322
Yang,
Q., Fang, H., Cao, M., & Chen, J. (2022).
Planar Affine Formation Stabilization via Parameter
Estimations. IEEE Transactions on
Cybernetics, 52(6), 5322-5332. https://doi.org/10.1109/TCYB.2020.3030270
Cunha,
R. F., Gongalves, T. R., Varma, V. S., Elayoubi, S. E., &
Cao, M. (2022). Reducing fuel consumption in
platooning systems through reinforcement learning. In J.
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Chen,
L., Shi, M., Garcia de Marina, H., & Cao, M.
(2022). Stabilizing and maneuvering angle rigid multi-agent
formations with double-integrator agent dynamics.
IEEE Transactions on Control of Network
Systems, 9(3), 1362-1374. https://doi.org/10.1109/TCNS.2022.3153885
Portoles,
O., Blesa, M., van Vugt, M., Cao,
M., & Borst, J. P. (2022). Thalamic
bursts modulate cortical synchrony locally to switch between states
of global functional connectivity in a cognitive task.
PLoS Computational Biology, 18(3),
Article e1009407. https://doi.org/10.1371/journal.pcbi.1009407
Ramazi,
P., Riehl, J., & Cao, M. (2022). The lower
convergence tendency of imitators compared to best
responders. Automatica, 139,
Article 110185. https://doi.org/10.1016/j.automatica.2022.110185
2021
Frieswijk,
K., Zino, L., & Cao, M.
(2023). A time-varying network model for sexually transmitted
infections accounting for behavior and control actions.
International Journal of Robust and Nonlinear
Control, 33(9), 4784-4807. https://doi.org/10.1002/rnc.5930
Ye,
M., Liu, J., Anderson, B. D. O., & Cao, M.
(2022). Applications of the Poincare-Hopf Theorem: Epidemic
Models and Lotka-Volterra Systems.
IEEE-Transactions on Automatic Control,
67(4), 1609-1624. https://doi.org/10.1109/TAC.2021.3064519
Gong,
L., & Cao, M. (2022). Different
Environment Feedback in Fast-slow Eco-evolutionary Dynamics and
Resulting Limit Cycles. IEEE Control Systems
Letters, 6, 1184-1189. https://doi.org/10.1109/LCSYS.2021.3089989
Ayoobi,
H., Mohades Kasaei, H., Cao,
M., Verbrugge, R., & Verheij,
B. (2022). Local-HDP: Interactive open-ended 3D object
category recognition in real-time robotic scenarios.
Robotics and Autonomous Systems,
147, Article 103911. https://doi.org/10.1016/j.robot.2021.103911
Chen,
L., Garcia de Marina Peinado, H., & Cao, M.
(2022). Maneuvering formations of mobile agents using
designed mismatched angles. IEEE-Transactions on
Automatic Control, 67(4), 1655-1668. https://doi.org/10.1109/TAC.2021.3066388
Zheng,
X., Kamat, A. M., Cao, M.,
& Kottapalli, A. G. P. (2022). Natural frequency
measurement of seal whiskers using a 3D-printed MEMS graphene-based
cantilever sensor. In 2022 IEEE 35th International
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(MEMS) (pp. 714-717). IEEE. https://doi.org/10.1109/MEMS51670.2022.9699636
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C., Zino, L., Cucuzzella,
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design to mitigate epidemics on networks using an SIS model.
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Qin,
Y., Kawano, Y., Anderson, B. D. O., & Cao,
M. (2022). Partial Exponential Stability Analysis of
Slow-Fast Systems via Periodic Averaging. IEEE
Transactions on Automatic Control, 67(10),
5479-5486. https://doi.org/10.1109/TAC.2021.3117151
Zino,
L., & Cao, M. (2021). Analysis,
Prediction, and Control of Epidemics: A Survey from Scalar to
Dynamic Network Models. IEEE Circuits and Systems
Magazine, 21(4), 4-23. https://doi.org/10.1109/MCAS.2021.3118100
Cenedese,
C., Belgioioso, G., Grammatico, S., & Cao,
M. (2021). An asynchronous distributed and scalable
generalized Nash equilibrium seeking algorithm for strongly
monotone games. European Journal of
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Ayoobi,
H., Cao, M., Verbrugge, R.,
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Argumentation-Based Learning. In 20th IEEE International
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Type Dynamics in Multiagent Network Games. IEEE
Transactions on Automatic Control, 66(6),
2861-2867. Article 9149654. https://doi.org/10.1109/TAC.2020.3011916
Ye,
M., Zino, L., Mlakar,
Ž., Bolderdijk, J. W., Risselada,
H., Fennis, B. M., & Cao, M.
(2021). Collective patterns of social diffusion are shaped by
individual inertia and trend-seeking. Nature
Communications, 12(1), Article 5698. https://doi.org/10.1038/s41467-021-25953-1
Zheng,
X., Kamat, A. M., Cao, M.,
& Kottapalli, A. G. P. (2021). Creating underwater
vision through wavy whiskers: A review of the flow sensing
mechanisms and biomimetic potential of seal whiskers.
Journal of the Royal Society Interface,
18(183), Article 20210629. https://doi.org/10.1098/rsif.2021.0629
Yao,
W., Garcia de Marina, H., Sun, Z., & Cao,
M. (2021). Distributed coordinated path following
using guiding vector fields. In 2021 IEEE Conference on
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Tan,
X., Cao, M., & Cao, J. (2021). Distributed
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