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RoboVAST can execute over 100,000 validation runs, enabling the identification of systematic failures in robotic systems that were previously obscured by noise.
Service robots can now autonomously negotiate ethical decisions during task interruptions, ensuring fair outcomes aligned with user preferences.
Students developing AI systems face significant hurdles in architectural design, revealing a critical gap in current AI education.
Robot simulation validation is often irreproducible, but this work shows how provenance tracking and FAIR principles can make it robust.
