| 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 | 33 | 2022 |
| 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 |
| 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 | 9 | 2023 |
| 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 | 3 | 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 | 2 | 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 | 1 | 2023 |
| 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 | | 2024 |
