| 2025 | EMNLP | On the Fine-Grained Planning Abilities of VLM Web Agents. | Surgan Jandial, Yinong Oliver Wang, Andrea Bajcsy, Fernando De la Torre |
| 2025 | ICLR | Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos. | Gengshan Yang, Andrea Bajcsy, Shunsuke Saito, Angjoo Kanazawa |
| 2025 | ICLR | Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback. | Michelle D. Zhao, Henny Admoni, Reid G. Simmons, Aaditya Ramdas, Andrea Bajcsy |
| 2025 | ICRA | Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic Games. | Ravi Pandya, Changliu Liu, Andrea Bajcsy |
| 2025 | IROS | Robots that Suggest Safe Alternatives. | Hyun Joe Jeong, Rosy Chen, Andrea Bajcsy |
| 2025 | ICRA | Updating Robot Safety Representations Online From Natural Language Feedback. | Leonardo Santos, Zirui Li, Lasse Peters, Somil Bansal, Andrea Bajcsy |
| 2024 | CoRL | Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures. | Kensuke Nakamura, Thomas Tian, Andrea Bajcsy |
| 2024 | ECCV | Adaptive Human Trajectory Prediction via Latent Corridors. | Neerja Thakkar, Karttikeya Mangalam, Andrea Bajcsy, Jitendra Malik |
| 2024 | ICLR | What Matters to You? Towards Visual Representation Alignment for Robot Learning. | Thomas Tian, Chenfeng Xu, Masayoshi Tomizuka, Jitendra Malik, Andrea Bajcsy |
| 2024 | ICRA | Learning Vision-based Pursuit-Evasion Robot Policies. | Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik |
| 2024 | ICRA | Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions. | Jordan Lekeufack, Anastasios N. Angelopoulos, Andrea Bajcsy, Michael I. Jordan, Jitendra Malik |
| 2023 | CoRL | Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy. | Haimin Hu, Zixu Zhang, Kensuke Nakamura, Andrea Bajcsy, Jaime Fernndez Fisac |
| 2023 | HRI | Towards Modeling and Influencing the Dynamics of Human Learning. | Ran Tian, Masayoshi Tomizuka, Anca D. Dragan, Andrea Bajcsy |
| 2023 | ICRA | Towards Robots that Influence Humans over Long-Term Interaction. | Shahabedin Sagheb, Ye-Ji Mun, Neema Ahmadian, Benjamin A. Christie, Andrea Bajcsy, Katherine Driggs-Campbell, Dylan P. Losey |
| 2022 | ICRA | Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models. | Ran Tian, Liting Sun, Andrea Bajcsy, Masayoshi Tomizuka, Anca D. Dragan |
| 2021 | ICRA | Analyzing Human Models that Adapt Online. | Andrea Bajcsy, Anand Siththaranjan, Claire J. Tomlin, Anca D. Dragan |
| 2020 | ICRA | A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning. | Somil Bansal, Andrea Bajcsy, Ellis Ratner, Anca D. Dragan, Claire J. Tomlin |
| 2019 | ICRA | A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance. | Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan, Claire J. Tomlin |
| 2018 | CoRL | Learning under Misspecified Objective Spaces. | Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan |
| 2018 | HRI | Learning from Physical Human Corrections, One Feature at a Time. | Andrea Bajcsy, Dylan P. Losey, Marcia K. O'Malley, Anca D. Dragan |
| 2017 | CoRL | Learning Robot Objectives from Physical Human Interaction. | Andrea Bajcsy, Dylan P. Losey, Marcia K. O'Malley, Anca D. Dragan |