Matthew Sivaprakasam

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Prior Knowledge

Inverse Reinforcement Learning

Partially Observable Environments

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