Robotics
Ontology-Grounded World Models for Failure Diagnosis and Closed-Loop Repair in Physical AI Systems
Bridging world models with symbolic logic for precise robot failure recovery.
EV-WM represents candidate quality with feature and event scores, but these scores do not explicitly record an unmet task predicate, a route label for an available correction mechanism, or a post-correction acceptance result. We present Onto-EV-WM, an ontology-grounded diagnosis ...
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ArXiv CS.RO
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ArXiv CS.RO
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Onto-EV-WM bridges the gap between opaque world models and symbolic reasoning by grounding failures in structured ontologies. This approach allows robots to diagnose errors with semantic precision, enabling more reliable autonomous recovery in complex environments.
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