MICO

MICO Lab


 Welcome! 

MICO lab was established within the Department of Electrical and Computer Engineering at George Mason University in August 2021.
Our primary research interest lies in the design of control, optimization, and learning algorithms for large-scale multi-robot systems towards advanced autonomy/intelligence. The systems under consideration could also involve human operators, with robots in the system adapting to human intervention and learning from human corrections. The target applications include swarm robot coordination, autonomous driving, mobile sensor networks, smart power systems, and the internet of things.


 Director: 

Xuan Wang [CV]    

Assistant Professor, Electrical and Computer Engineering,
College of Engineering and Computing, George Mason University.


Contact Information:

Email: xwang64 [at] gmu.edu
Phone: (703)-993-1592

 

Room 168, Research Hall.
4400 University Dr, Fairfax, VA 22030


 Sponsors: 


ARL
4VA
SCEEE





 Recent News: 

2024 IROS

The MICO group will present four papers at IROS 2024!

NSF

Glad to share that the 3-year project "Learning Coordination for Multi-Autonomous Multi-Human (MAMH) Agent Systems with Guaranteed Safety" is funded by NSF EPCN program!

2023 IROS

Paper co-first authored by Zhechen is selected as the best paper finalist on Cognitive Robotics at IROS 2023. Congratulations!

2023 IROS 2023 IROS

2023 IROS

Dr. Wang will serve as a Technical Committee member of the IEEE Manufacturing Automation and Robot Control.

2023 CDC

Yizhi's paper accepted by '62nd IEEE Conference on Decision and Control'. Congratulations!

2022 TBAM

Our project 'Tactical Team Behavior with Hierarchical Decision Making using Game Theory and Learning' with Dr. Daigo Shishika and Dr. Xuesu Xiao is funded by Army Research Lab.

2022 TAC

Paper 'Consensus-based Distributed Optimization Enhanced by Integral-Feedback' by X. Wang, S. Mou, and BDO Anderson has been accepted by journal IEEE Transactions on Automatic Control.

 Openings 

1. Questions about Ph.D. openings should be directed to Dr. Wang though email inquiries.

2. Research interns are welcomed.