Multi-agent Intelligence, Control, and Optimization
(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 3230, Nguyen Engineering Bldg.
4400 University Dr, Fairfax, VA 22030
Sponsors:
Recent News:
Paper co-first authored by Zhechen is selected as the best paper finalist on Cognitive Robotics at IROS 2023. Congratulations!
Dr. Wang will serve as a Technical Committee member of the IEEE Manufacturing Automation and Robot Control.
Yizhi's paper accepted by '62nd IEEE Conference on Decision and Control'. Congratulations!
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.
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. The position is fully funded (including tuition, living stipend, health insurance). One position will be available starting Spring 2024, in the direction of computational neuroscience using control-theoretic and machine learning methods.
2. Research interns are welcomed.