Negar Mehr

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5126 Etcheverry Hall

UC Berkeley

Berkeley, CA 94720-1740

negar@berkeley.edu

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

Jul 24, 2024 Our paper titled “Learning to Provably Satisfy High Relative Degree Constraints for Black-Box Systems” got accepted at the Conference on Decision and Control (CDC) 2024!
Jul 24, 2024 Our paper titled “Learning Differentiable and Safe Multi-Robot Control for Generalization to Novel Environments using Control Barrier Functions” got accepted at the Conference on Decision and Control (CDC) 2024!
Jun 30, 2024 Our paper titled “Optimal Robotic Assembly Sequence Planning (ORASP): A Sequential Decision-Making Approach” got accepted at the International Conference on Intelligent Robots and Systems (IROS) 2024!
May 13, 2024 Our paper titled “POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints” got accepted at the Robotics: Science and Systems (RSS) 2024!
Mar 28, 2024 Our paper titled “Adaptive Learning from Demonstration in Heterogeneous Agents: Concurrent Minimization and Maximization of Surprise in Sparse Reward Environments” got accepted at the Learning for Dynamics & Control (L4DC) Conference 2024!