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
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! |
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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! |