| Tartandrive: A large-scale dataset for learning off-road dynamics models S Triest, M Sivaprakasam, SJ Wang, W Wang, AM Johnson, S Scherer 2022 International Conference on Robotics and Automation (ICRA), 2546-2552, 2022 | 43 | 2022 |
| Learning highway ramp merging via reinforcement learning with temporally-extended actions S Triest, A Villaflor, JM Dolan 2020 IEEE Intelligent Vehicles Symposium (IV), 1595-1600, 2020 | 40 | 2020 |
| How does it feel? self-supervised costmap learning for off-road vehicle traversability MG Castro, S Triest, W Wang, JM Gregory, F Sanchez, JG Rogers, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 931-938, 2023 | 35 | 2023 |
| Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation S Triest, MG Castro, P Maheshwari, M Sivaprakasam, W Wang, S Scherer 2023 IEEE International Conference on Robotics and Automation (ICRA), 924-930, 2023 | 16 | 2023 |
| Rough terrain navigation using divergence constrained model-based reinforcement learning SJ Wang, S Triest, W Wang, S Scherer, A Johnson 5th Annual Conference on Robot Learning, 2021 | 15 | 2021 |
| Improving off-road planning techniques with learned costs from physical interactions M Sivaprakasam, S Triest, W Wang, P Yin, S Scherer 2021 IEEE International Conference on Robotics and Automation (ICRA), 4844-4850, 2021 | 12 | 2021 |
| PIAug--Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation P Maheshwari, W Wang, S Triest, M Sivaprakasam, S Aich, JG Rogers III, ... arXiv preprint arXiv:2311.00815, 2023 | 5 | 2023 |
| Tartandrive 2.0: More modalities and better infrastructure to further self-supervised learning research in off-road driving tasks M Sivaprakasam, P Maheshwari, MG Castro, S Triest, M Nye, S Willits, ... arXiv preprint arXiv:2402.01913, 2024 | 4 | 2024 |
| TartanDrive 1.5: Improving Large Multimodal Robotics Dataset Collection and Distribution M Sivaprakasam, S Triest, MG Castro, M Nye, M Maulimov, C Ho, ... ICRA2023 Workshop on Pretraining for Robotics (PT4R), 2023 | 2 | 2023 |
| UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments S Triest, DD Fan, S Scherer, AA Agha-Mohammadi 2024 IEEE International Conference on Robotics and Automation (ICRA), 12627 …, 2024 | 1 | 2024 |
| Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping S Aich, W Wang, P Maheshwari, M Sivaprakasam, S Triest, C Ho, ... arXiv preprint arXiv:2403.11876, 2024 | 1 | 2024 |
| How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability M Guaman Castro, S Triest, W Wang, JM Gregory, F Sanchez, ... arXiv e-prints, arXiv: 2209.10788, 2022 | | 2022 |
| Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation S Triest, M Sivaprakasam, S Aich, D Fan, W Wang, S Scherer 8th Annual Conference on Robot Learning, 0 | | |
