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)

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)

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)

Fast and Modular Autonomy Software for Autonomous Racing Vehicles. - Andrew Saba; Aderotimi Adetunji; Adam Johnson; Aadi Kothari; Matthew Sivaprakasam; Joshua Spisak; Prem Bharatia; Arjun Chauhan; Brendan Duff Jr.; Noah Gasparro; Charles King; Ryan Larkin; et al. (Field Robotics, 2024)

BETTY Dataset: A Multi-modal Dataset for Full-Stack Autonomy. - Micah Nye; Ayoub Raji; Andrew Saba; Eidan Erlich; Robert Exley; Aragya Goyal; Alexander Matros; Ritesh Misra; Matthew Sivaprakasam; Marko Bertogna; Deva Ramanan; Sebastian A. Scherer (CoRR, 2025)