Parv Maheshwari

According to our database, Parv Maheshwari authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

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

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

Multiple Waypoint Navigation in Unknown Indoor Environments.

Shivam Sood, Jaskaran Singh Sodhi, Parv Maheshwari, Karan Uppal, Debashish Chakravarty

CoRR, 2022

[Re] Differentiable Spatial Planning using Transformers.

Rohit Ranjan, Himadri Bhakta, Animesh Jha, Parv Maheshwari, Debashish Chakravarty

CoRR, 2022

Reproducibility Report: Contrastive Learning of Socially-aware Motion Representations.

Roopsa Sen, Sidharth Sinha, Parv Maheshwari, Animesh Jha, Debashish Chakravarty

CoRR, 2022

[Reproducibility Report] Path Planning using Neural A* Search.

Shreya Bhatt, Aayush Jain, Parv Maheshwari, Animesh Jha, Debashish Chakravarty

CoRR, 2022

2021

Local NMPC on Global Optimised Path for Autonomous Racing.

Dvij Kalaria, Parv Maheshwari, Animesh Jha, Arnesh Kumar Issar, Debashish Chakravarty, Sohel Anwar, Andres Towar

CoRR, 2021