Learning Highway Ramp Merging Via Reinforcement Learning with Temporally-Extended Actions. - Samuel Triest; Adam Villaflor; John M. Dolan (IV, 2020)

Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning. - Sean J. Wang; Samuel Triest; Wenshan Wang; Sebastian A. Scherer; Aaron M. Johnson 001 (CoRL, 2021)

Improving Off-road Planning Techniques with Learned Costs from Physical Interactions. - Matthew Sivaprakasam; Samuel Triest; Wenshan Wang; Peng Yin 001; Sebastian A. Scherer (ICRA, 2021)

TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models. - Samuel Triest; Matthew Sivaprakasam; Sean J. Wang; Wenshan Wang; Aaron M. Johnson 001; Sebastian A. Scherer (ICRA, 2022)

How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability. - Mateo Guaman Castro; Samuel Triest; Wenshan Wang; Jason M. Gregory; Felix A. Sanchez; John G. Rogers; Sebastian A. Scherer (ICRA, 2023)

Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation. - Samuel Triest; Mateo Guaman Castro; Parv Maheshwari; Matthew Sivaprakasam; Wenshan Wang; Sebastian A. Scherer (ICRA, 2023)

PIAug - Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation. - Parv Maheshwari; Wenshan Wang; Samuel Triest; Matthew Sivaprakasam; Shubhra Aich; John G. Rogers III; Jason M. Gregory; Sebastian A. Scherer (CoRR, 2023)

Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation. - Samuel Triest; Matthew Sivaprakasam; Shubhra Aich; David D. Fan; Wenshan Wang; Sebastian A. Scherer (CoRL, 2024)

TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks. - Matthew Sivaprakasam; Parv Maheshwari; Mateo Guaman Castro; Samuel Triest; Micah Nye; Steven Willits; Andrew Saba; Wenshan Wang; Sebastian A. Scherer (ICRA, 2024)

UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments. - Samuel Triest; David D. Fan; Sebastian A. Scherer; Ali-Akbar Agha-Mohammadi (ICRA, 2024)

Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping. - Shubhra Aich; Wenshan Wang; Parv Maheshwari; Matthew Sivaprakasam; Samuel Triest; Cherie Ho; Jason M. Gregory; John G. Rogers III; Sebastian A. Scherer (CoRR, 2024)

SALON: Self-supervised Adaptive Learning for Off-road Navigation. - Matthew Sivaprakasam; Samuel Triest; Cherie Ho; Shubhra Aich; Jeric Lew; Isaiah Adu; Wenshan Wang; Sebastian A. Scherer (CoRR, 2024)