Samuel Triest

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Legged Locomotion

Reinforcement Learning

Bayesian Nonparametric

Top Venues

Publications

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 (2024)
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)
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)
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 (2024)
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 (2024)
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian Scherer
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation. CoRR (2023)
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)
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 (2023)
Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M. Gregory, Felix Sanchez, John G. Rogers, Sebastian A. Scherer
How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability. ICRA (2023)
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 (2022)
Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M. Gregory, Felix Sanchez, John G. Rogers III, Sebastian Scherer
How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability. CoRR (2022)
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)
Sean J. Wang, Samuel Triest, Wenshan Wang, Sebastian Scherer, Aaron M. Johnson
Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning. CoRL (2021)
Matthew Sivaprakasam, Samuel Triest, Wenshan Wang, Peng Yin, Sebastian Scherer
Improving Off-road Planning Techniques with Learned Costs from Physical Interactions. ICRA (2021)
Samuel Triest, Adam Villaflor, John M. Dolan
Learning Highway Ramp Merging Via Reinforcement Learning with Temporally-Extended Actions. IV (2020)