Safaeid Arib

LAGEA: Language Guided Embodied Agents for Robotic Manipulation

Robotic manipulation benefits from foundation models that describe goals, but today's agents still lack a principled way to learn from their own mistakes. We ask whether natural language can serve as feedback, an error-reasoning signal that helps embodied agents diagnose what went wrong and correct …