Negar Mehr

161 Coordinated Science Laboratory

1308 West Main St

Urbana Illinois 61801

I am an assistant professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign with a cross appointment at the Coordinated Science Laboratory (CSL) and Electrical and Computer Engineering (ECE) Department. 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. To this end, 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

Nov 24, 2022 Our paper titled Maximum-Entropy Multi-Agent Dynamic Games: Forward and Inverse Solutions got accepted at the IEEE Transactions on Robotics (T-RO)!
Aug 15, 2022 We will organize a workshop on Strategic Multi-Agent Interactions: Game Theory for Robot Learning and Decision Making” at the Conference on Robot Learning (CoRL) 2022!
Apr 22, 2022 We will organize a workshop on Behavior-driven Autonomous Driving in Unstructured Environments at the International Conference on Intelligent Robots and Systems (IROS) 2022!
Feb 28, 2022 Our paper titled Congestion-aware Bi-modal Delivery Systems Utilizing Drones got accepted at the European Control Conference (ECC) 2022!
Feb 11, 2022 I won the NSF CAREER Award to develop a mathematical framework for socially-aware control of autonomy!
Jan 31, 2022 Our paper titled Learning Contraction Policies from Offline Data got accepted at the International Conference on Robotics and Automation (ICRA) 2022!
Jan 31, 2022 We will organize a workshop on Learning and Control for Safety-Critical Systems at American Control Conference (ACC) 2022!
Jan 31, 2022 Our paper titled Stackelberg Routing of Autonomous Cars in Mixed-Autonomy Traffic Networks got accepted at the American Control Conference (ACC) 2022!
Jan 3, 2022 Our paper titled Learning Contraction Policies from Offline Data got accepted at the IEEE Robotics and Automation Letters (RA-L)!
Dec 13, 2021 Our paper titled Learning Contraction Policies from Offline Data was selected as the best paper award finalist at NeurIPS 2021 workshop Safe and Robust Control of Uncertain Systems!