Awarded a 3-year grant from the NSF EPCN program for the project 'Learning Coordination for Multi-Autonomous Multi-Human (MAMH) Agent Systems with Guaranteed Safety'
Paper 'Consensus-based Distributed Optimization Enhanced by Integral-Feedback' accepted by IEEE Transactions on Automatic Control
MICO group will present four papers at IROS 2024
Co-first-authored paper by Zhechen selected as Best Paper Finalist in Cognitive Robotics at IROS 2023
Paper by Yizhi accepted by the 62nd IEEE Conference on Decision and Control
Serving as a Technical Committee member of IEEE Manufacturing Automation and Robot Control
Background
Assistant Professor in the Department of Electrical and Computer Engineering, George Mason University
Director of the Multi-agent Intelligence, Control, and Optimization (MICO) Lab
Primary research interest lies in the design of control, optimization, and learning algorithms for large-scale multi-robot systems towards advanced autonomy and intelligence
Research systems may involve human operators, with robots adapting to human intervention and learning from human corrections
Target applications include swarm robot coordination, autonomous driving, mobile sensor networks, smart power systems, and the Internet of Things