Negar Mehr

I am an assistant professor in the Mechanical Engineering Department at the University of California at Berkeley. I run the ICON Lab. The focus of my research is to develop control algorithms that allow autonomous systems to safely and intelligently interact with each other and with humans. I draw from the fields of control theory, robotics, game theory, and machine learning. I was a Postdoctoral Scholar in the Department of Aeronautics and Astronautics at Stanford from 2019 to 2020. I received my PhD in Mechanical engineering at UC Berkeley in 2019 and received my bachelor’s degree in Mechanical Engineering at Sharif University of Technology in 2013.
news
Feb 13, 2025 | Our paper titled “Strategic Decision-Making in Multi-Agent Domains: A Weighted Constrained Potential Dynamic Game Approach” got accepted at the IEEE Transactions on Robotics (T-RO) 2025! |
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Jan 27, 2025 | Our paper titled “CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models” got accepted at the IEEE International Conference on Robotics and Automation (ICRA) 2025! |
Jan 16, 2025 | Our paper titled “Active Inverse Learning in Stackelberg Trajectory Games”” got accepted at the American Control Conference (ACC) 2025! |
Dec 09, 2024 | Our paper titled “Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment” got accepted at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2025! |
Nov 19, 2024 | Our paper titled “To What Extent do Open-loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games?” got accepted at the IEEE Control Systems Letters (L-CSS)! |