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Preprint Aug 2026

ScenarioCharacterization: A Modular Toolkit for Characterizing Safety across Trajectory Datasets

We introduce ScenarioCharacterization, an open-source framework for automated, dataset-agnostic profiling of driving scenarios in trajectory datasets. Our framework is packaged as a modular, configuration-driven pipeline of three layers: a dataset adapter that maps custom datasets onto an open Scenario representation,...

Ingrid Navarro, Yutong Duan, Jonathan Francis et al. · 1 citation
#artificial intelligence Preprint Aug 2026

Training-Free Action Correction for VLA Model Failures via Language Feedback

CorrectVLA is presented, a framework that translates task-level natural language corrections into additive action magnitude adjustments without modifying policy weights, and succeeds when policies possess strategic correctness and fails when fundamental comprehension is absent, establishing a practical operational boun...

O. Kwon, Pablo Ortega-Kral, A. Bucker et al. · 0 citations

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