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Conference and Workshop Papers
- 2024
[c8]Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian A. Scherer:
TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks. ICRA 2024: 12606- [c7]Samuel Triest, David D. Fan, Sebastian Scherer, Ali-Akbar Agha-Mohammadi:
UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments. ICRA 2024: 12627-12634 - 2023
- [c6]Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian A. Scherer
:
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation. ICRA 2023: 924-930 - [c5]Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M. Gregory, Felix A. Sanchez, John G. Rogers, Sebastian A. Scherer:
How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability. ICRA 2023: 931-938 - 2022
- [c4]Samuel Triest, Matthew Sivaprakasam, Sean J. Wang, Wenshan Wang, Aaron M. Johnson, Sebastian A. Scherer:
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models. ICRA 2022: 2546-2552 - 2021
- [c3]Sean J. Wang, Samuel Triest, Wenshan Wang, Sebastian A. Scherer, Aaron M. Johnson:
Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning. CoRL 2021: 224-233 - [c2]Matthew Sivaprakasam, Samuel Triest, Wenshan Wang, Peng Yin, Sebastian A. Scherer:
Improving Off-road Planning Techniques with Learned Costs from Physical Interactions. ICRA 2021: 4844-4850 - 2020
- [c1]Samuel Triest, Adam Villaflor, John M. Dolan:
Learning Highway Ramp Merging Via Reinforcement Learning with Temporally-Extended Actions. IV 2020: 1595-1600
Informal and Other Publications
- 2024
- [i7]Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian A. Scherer:
TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks. CoRR abs/2402.01913 (2024) - [i6]Shubhra Aich, Wenshan Wang, Parv Maheshwari, Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Jason M. Gregory, John G. Rogers III, Sebastian A. Scherer:
Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping. CoRR abs/2403.11876 (2024) - [i5]Samuel Triest, David D. Fan, Sebastian A. Scherer, Ali-Akbar Agha-Mohammadi:
UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments. CoRR abs/2407.08720 (2024) - 2023
- [i4]Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian A. Scherer:
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation. CoRR abs/2302.00134 (2023) - [i3]Parv Maheshwari, Wenshan Wang, Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, John G. Rogers III, Jason M. Gregory, Sebastian A. Scherer:
PIAug - Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation. CoRR abs/2311.00815 (2023) - 2022
- [i2]Samuel Triest, Matthew Sivaprakasam, Sean J. Wang, Wenshan Wang, Aaron M. Johnson, Sebastian A. Scherer:
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models. CoRR abs/2205.01791 (2022) - [i1]Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M. Gregory, Felix A. Sanchez, John G. Rogers III, Sebastian A. Scherer:
How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability. CoRR abs/2209.10788 (2022)
Coauthor Index
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