| 2025 | IROS | MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games. | Maulik Bhatt, Iman Askari, Yue Yu, Ufuk Topcu, Huazhen Fang, Negar Mehr |
| 2025 | IROS | Understanding and Imitating Human-Robot Motion with Restricted Visual Fields. | Maulik Bhatt, HongHao Zhen, Monroe D. Kennedy III, Negar Mehr |
| 2025 | IROS | Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds. | Rohan Chandra, Haresh Karnan, Negar Mehr, Peter Stone, Joydeep Biswas |
| 2025 | ICRA | CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills Using Large Language Models. | Kanghyun Ryu, Qiayuan Liao, Zhongyu Li, Payam Delgosha, Koushil Sreenath, Negar Mehr |
| 2024 | ICRA | Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment. | Gokul Puthumanaillam, Xiangyu Liu, Negar Mehr, Melkior Ornik |
| 2024 | IROS | Optimal Robotic Assembly Sequence Planning (ORASP): A Sequential Decision-Making Approach. | Kartik Nagpal, Negar Mehr |
| 2024 | ICRA | Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds. | Kanghyun Ryu, Negar Mehr |
| 2023 | ICRA | Learning to Influence Vehicles' Routing in Mixed-Autonomy Networks by Dynamically Controlling the Headway of Autonomous Cars. | Xiaoyu Ma, Negar Mehr |
| 2023 | IROS | Efficient Constrained Multi-Agent Trajectory Optimization Using Dynamic Potential Games. | Maulik Bhatt, Yixuan Jia, Negar Mehr |
| 2023 | ICRA | Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions. | Zach Williams, Jushan Chen, Negar Mehr |
| 2020 | IROS | Game-Theoretic Planning for Risk-Aware Interactive Agents. | Mingyu Wang, Negar Mehr, Adrien Gaidon, Mac Schwager |