2 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
What Would Removing This Corruption Change? Failure Attribution for Vision-Language-Action Models
Carson Sobolewski, Anjali Parashar, Fei Chen +2
Vision-language-action (VLA) models are sensitive to visual corruptions, but knowing that a corruption is typically harmful does not establish whether removing it would benefit the…
Failure Prediction from Limited Hardware Demonstrations
Anjali Parashar, Kunal Garg, Joseph Zhang +1
Prediction of failures in real-world robotic systems either requires accurate model information or extensive testing. Partial knowledge of the system model makes simulation-based f…
Fast and Modular Autonomy Software for Autonomous Racing Vehicles
Andrew Saba, Aderotimi Adetunji, Adam Johnson +27
Autonomous motorsports aim to replicate the human racecar driver with software and sensors. As in traditional motorsports, Autonomous Racing Vehicles (ARVs) are pushed to their han…
RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling
Charles Dawson, Anjali Parashar, Chuchu Fan
Before autonomous systems can be deployed in safety-critical applications, we must be able to understand and verify the safety of these systems. For cases where the risk or cost of…