Samuel Triest

18 papers A* 7C 1Misc 2Journal 8
YearRankTypeTitle / Venue / Authors
2025 A* conf
SALON: Self-supervised Adaptive Learning for Off-road Navigation.
ICRA
Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Shubhra Aich, Jeric Lew, Isaiah Adu, Wenshan Wang, Sebastian A. Scherer
2024 J jnl
Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping.
CoRR
Shubhra Aich, Wenshan Wang, Parv Maheshwari, Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Jason M. Gregory, John G. Rogers III, Sebastian A. Scherer
2024 J jnl
SALON: Self-supervised Adaptive Learning for Off-road Navigation.
CoRR
Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Shubhra Aich, Jeric Lew, Isaiah Adu, Wenshan Wang, Sebastian A. Scherer
2024 A* conf
TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks.
ICRA
Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian A. Scherer
2024 J jnl
TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks.
CoRR
Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian A. Scherer
2024 A* conf
UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments.
ICRA
Samuel Triest, David D. Fan, Sebastian A. Scherer, Ali-Akbar Agha-Mohammadi
2024 J jnl
UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments.
CoRR
Samuel Triest, David D. Fan, Sebastian A. Scherer, Ali-Akbar Agha-Mohammadi
2024 Misc conf
Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation.
CoRL
Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, David D. Fan, Wenshan Wang, Sebastian A. Scherer
2023 A* conf
How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability.
ICRA
Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M. Gregory, Felix A. Sanchez, John G. Rogers, Sebastian A. Scherer
2023 A* conf
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation.
ICRA
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian A. Scherer
2023 J jnl
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation.
CoRR
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian A. Scherer
2023 J jnl
PIAug - Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation.
CoRR
Parv Maheshwari, Wenshan Wang, Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, John G. Rogers III, Jason M. Gregory, Sebastian A. Scherer
2022 J jnl
How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability.
CoRR
Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M. Gregory, Felix A. Sanchez, John G. Rogers III, Sebastian A. Scherer
2022 A* conf
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models.
ICRA
Samuel Triest, Matthew Sivaprakasam, Sean J. Wang, Wenshan Wang, Aaron M. Johnson, Sebastian A. Scherer
2022 J jnl
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models.
CoRR
Samuel Triest, Matthew Sivaprakasam, Sean J. Wang, Wenshan Wang, Aaron M. Johnson, Sebastian A. Scherer
2021 A* conf
Improving Off-road Planning Techniques with Learned Costs from Physical Interactions.
ICRA
Matthew Sivaprakasam, Samuel Triest, Wenshan Wang, Peng Yin, Sebastian A. Scherer
2021 Misc conf
Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning.
CoRL
Sean J. Wang, Samuel Triest, Wenshan Wang, Sebastian A. Scherer, Aaron M. Johnson
2020 C conf
Learning Highway Ramp Merging Via Reinforcement Learning with Temporally-Extended Actions.
IV
Samuel Triest, Adam Villaflor, John M. Dolan