2025
Quantifying the Sim2Real Gap: Model-Based Verification and Validation in Autonomous Ground Systems
RA-L 2025
Quantifying the Sim2Real gap is crucial for validating autonomous ground systems, enabling robust algorithm testing in simulations before real-world deployment, thereby reducing costs and time. This study introduces the Vinnicombe (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns