Embodied Agentic AI: Translating Digital Reasoning to Physical Robotics

ABSTRACT

While Agentic AI has mastered digital environments through API integrations, transferring this autonomous orchestration to the physical world remains a significant challenge. This paper presents a unified framework bridging high-level multi-agent reasoning with low-level sensorimotor control. By deploying a 'Cognitive Orchestrator' that communicates semantic goals to a specialized 'Motor Agent', the system successfully performs complex, multi-step physical tasks in unstructured kitchen environments. The authors demonstrate a 40% reduction in physical execution failures by allowing the Motor Agent to push back and request clarified intent when physical constraints block the initial plan.