| 2024 | CoRL | Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling. | Aman Sinha, Payam Nikdel, Supratik Paul, Shimon Whiteson |
| 2023 | ICRA | STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Follow-Ahead. | Mohammad Mahdavian, Payam Nikdel, Mahdi Taherahmadi, Mo Chen |
| 2023 | ICRA | DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adversarial Network. | Payam Nikdel, Mohammad Mahdavian, Mo Chen |
| 2022 | CoRL | Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. | Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson |
| 2022 | IROS | Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. | Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov |
| 2021 | ICRA | LBGP: Learning Based Goal Planning for Autonomous Following in Front. | Payam Nikdel, Richard Vaughan, Mo Chen |
| 2020 | IROS | Relational Graph Learning for Crowd Navigation. | Changan Chen, Sha Hu, Payam Nikdel, Greg Mori, Manolis Savva |
| 2018 | ICRA | The Hands-Free Push-Cart: Autonomous Following in Front by Predicting User Trajectory Around Obstacles. | Payam Nikdel, Rakesh Shrestha, Richard Vaughan |