| 2025 | CVPR | GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks. | Haoqiang Kang, Enna Sachdeva, Piyush Gupta, Sangjae Bae, Kwonjoon Lee |
| 2025 | ICRA | Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-Constructed Hierarchical Trees. | Piyush Gupta, David Isele, Enna Sachdeva, Pin-Hao Huang, Behzad Dariush, Kwonjoon Lee, Sangjae Bae |
| 2025 | ICRA | Delayed-Decision Motion Planning in the Presence of Multiple Predictions. | David Isele, Alexandre Miranda Aon, Faizan M. Tariq, Goro Yeh, Avinash Singh, Sangjae Bae |
| 2025 | IROS | Active Probing with Multimodal Predictions for Motion Planning. | Darshan Gadginmath, Farhad Nawaz, Minjun Sung, Faizan M. Tariq, Sangjae Bae, David Isele, Fabio Pasqualetti, Jovin D'sa |
| 2024 | ICRA | Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving. | Alexandre Miranda Aon, Sangjae Bae, Manish Saroya, David Isele |
| 2023 | ICRA | Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control. | Piyush Gupta, David Isele, Donggun Lee, Sangjae Bae |
| 2022 | IROS | Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving. | Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae |
| 2020 | ICRA | Driving in Dense Traffic with Model-Free Reinforcement Learning. | Dhruv Mauria Saxena, Sangjae Bae, Alireza Nakhaei, Kikuo Fujimura, Maxim Likhachev |