1 citations · 1 across the 5 of their papers we have counts for
7 papers
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…
Bayesian Active Learning for Intent Disambiguation in Interactive Robot Planning
Huao Li, Carson Sobolewski, Augustinos Saravanos +3
Interactive robot planning requires robots to infer and execute human intentions from natural language instructions that are often ambiguous, incomplete, or underspecified. Althoug…
Coverage Aware Active Evaluation for Failure Discovery with Paired Systems
Anjali Parashar, Rachel Luo, Apoorva Sharma +6
Autonomous systems can fail in rare and heterogeneous ways, making real-world failure discovery difficult under limited testing budgets. Although cheaper proxies such as simulators…
Online Slip Detection and Friction Coefficient Estimation for Autonomous Racing
Christopher Oeltjen, Carson Sobolewski, Saleh Faghfoorian +4
Accurate knowledge of the tire-road friction coefficient (TRFC) is essential for vehicle safety, stability, and performance, especially in autonomous racing, where vehicles often o…
Generalizable Image Repair for Robust Visual Control
Carson Sobolewski, Zhenjiang Mao, Kshitij Maruti Vejre +1
Vision-based control relies on accurate perception to achieve robustness. However, image distribution changes caused by sensor noise, adverse weather, and dynamic lighting can degr…
Uncertainty Quantification in Detection Transformers: Object-Level Calibration and Image-Level Reliability
Young-Jin Park, Carson Sobolewski, Navid Azizan
DETR and its variants have emerged as promising architectures for object detection, offering an end-to-end prediction pipeline. In practice, however, DETRs generate hundreds of pre…
How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy
Zhenjiang Mao, Carson Sobolewski, Ivan Ruchkin
End-to-end learning has emerged as a major paradigm for developing autonomous systems. Unfortunately, with its performance and convenience comes an even greater challenge of safety…