6 papers
Mixed-Reality Digital Twins: Leveraging the Physical and Virtual Worlds for Hybrid Sim2Real Transition of Multi-Agent Reinforcement Learning Policies
Chinmay Vilas Samak, Tanmay Vilas Samak, Venkat Narayan Krovi
Multi-agent reinforcement learning (MARL) for cyber-physical vehicle systems usually requires a significantly long training time due to their inherent complexity. Furthermore, depl…
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…
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…
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…
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…
Digital Twins Meet the Koopman Operator: Data-Driven Learning for Robust Autonomy
Chinmay Vilas Samak, Tanmay Vilas Samak, Ajinkya Joglekar +2
Contrary to on-road autonomous navigation, off-road autonomy is complicated by various factors ranging from sensing challenges to terrain variability. In such a milieu, data-driven…