collaborators

8 papers

cs.RO2026

When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Driving

Tanmay Vilas Samak, Chinmay Vilas Samak, Bing Li +1

Simulation frameworks have been key enablers for the development and validation of autonomous driving systems. However, existing methods struggle to comprehensively address the aut…

cs.RO2025

Sim2Real Diffusion: Leveraging Foundation Vision Language Models for Adaptive Automated Driving

Chinmay Vilas Samak, Tanmay Vilas Samak, Bing Li +1

Simulation-based design, optimization, and validation of autonomous vehicles have proven to be crucial for their improvement over the years. Nevertheless, the ultimate measure of e…

cs.RO2025

A Systematic Digital Engineering Approach to Verification & Validation of Autonomous Ground Vehicles in Off-Road Environments

Tanmay Vilas Samak, Chinmay Vilas Samak, Julia Brault +6

The engineering community currently encounters significant challenges in the systematic development and validation of autonomy algorithms for off-road ground vehicles. These challe…

stat.ML2025

Physics constrained learning of stochastic characteristics

Pardha Sai Krishna Ala, Ameya Salvi, Venkat Krovi +1

Accurate state estimation requires careful consideration of uncertainty surrounding the process and measurement models; these characteristics are usually not well-known and need an…

cs.RO2025

Characterizing gaussian mixture of motion modes for skid-steer vehicle state estimation

Ameya Salvi, Mark Brudnak, Jonathon M. Smereka +2

Skid-steered wheel mobile robots (SSWMRs) are characterized by the unique domination of the tire-terrain skidding for the robot to move. The lack of reliable friction models cascad…

cs.RO2025

Digital Twins in the Cloud: A Modular, Scalable and Interoperable Framework for Accelerating Verification and Validation of Autonomous Driving Solutions

Tanmay Vilas Samak, Chinmay Vilas Samak, Giovanni Martino +2

Verification and validation (V&V) of autonomous vehicles (AVs) typically requires exhaustive testing across a variety of operating environments and driving scenarios including rare…