Matthew Sivaprakasam

According to our database, Matthew Sivaprakasam authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

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, Brian Mao, Micah Nye, Anjali Parashar, Joseph Attias, Aurimas Balciunas, Austin Brown, Chris Chang, Ming Gao, Cindy Heredia, Andrew Keats, Jose Lavariega, William Muckelroy III, Andre Slavescu, Nickolas Stathas, Nayana Suvarna, Chuan Tian Zhang, Sebastian A. Scherer, Deva Ramanan

Field Robotics, 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, Brian Mao, Micah Nye, Anjali Parashar, Joseph Attias, Aurimas Balciunas, Austin Brown, Chris Chang, Ming Gao, Cindy Heredia, Andrew Keats, Jose Lavariega, William Muckelroy III, Andre Slavescu, Nickolas Stathas, Nayana Suvarna, Chuan Tian Zhang, Sebastian A. Scherer, Deva Ramanan

CoRR, 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

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

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

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

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

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models.

Samuel Triest, Matthew Sivaprakasam, Sean J. Wang, Wenshan Wang, Aaron M. Johnson, Sebastian A. Scherer

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Improving Off-road Planning Techniques with Learned Costs from Physical Interactions.

Matthew Sivaprakasam, Samuel Triest, Wenshan Wang, Peng Yin, Sebastian A. Scherer

Proceedings of the IEEE International Conference on Robotics and Automation, 2021