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)

[Reproducibility Report] Path Planning using Neural A* Search. - Shreya Bhatt; Aayush Jain; Parv Maheshwari; Animesh Jha; 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)

[Re] Differentiable Spatial Planning using Transformers. - Rohit Ranjan; Himadri Bhakta; Animesh Jha; Parv Maheshwari; Debashish Chakravarty (CoRR, 2022)

Multiple Waypoint Navigation in Unknown Indoor Environments. - Shivam Sood; Jaskaran Singh Sodhi; Parv Maheshwari; Karan Uppal; Debashish Chakravarty (CoRR, 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)

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)

ThermalDiffusion: Visual-to-Thermal Image-to-Image Translation for Autonomous Navigation. - Shruti Bansal; Wenshan Wang; Yifei Liu; Parv Maheshwari (CoRR, 2025)