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 developing control, learning, and optimization algorithms to advance the autonomy and intelligence of robotic and multi-robot systems.
Our current research focuses on reinforcement learning and knowledge transfer for robotic systems, scalable foundation models for resource-constrained robots, multi-robot coordination, planning, and SLAM,
and planning and control for legged mobile manipulation. We also investigate human-robot interaction and cooperative decision-making, enabling robots to adapt to human behaviors, preferences, and interventions.
Director:
Xuan Wang
Assistant Professor, Electrical and Computer Engineering,
College of Engineering and Computing,
George Mason University.
Xuan Wang is a recipient of the 2026 NSF CAREER Award from the DCSD program.
Contact Information:
Email: xwang64 [at] gmu.edu
Phone: (703)-993-1592
Room 168, Research Hall.
4400 University Dr, Fairfax, VA 22030
Sponsors:
Recent News:
Dr. Wang received a 2026 NSF CAREER Award!
The project is titled "CAREER: A Dynamical Systems Approach to Reliable and Efficient Knowledge Transfer in Robot Learning".
Our paper has been accepted at NeurIPS 2026!
The MICO group will present four papers at IROS 2024!
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!
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.
2. Research interns are welcomed.