Definition
Embodied AI places intelligence in a physical agent that perceives and acts in the real world — robots, drones, or autonomous vehicles. Unlike disembodied AI (chatbots, recommender systems), embodied AI must handle continuous control, physical constraints, safety, latency, and partial observability. Key research directions include learning from interaction, grounding language in physical experience, and transferring knowledge across different robot bodies. SVRC's mission centers on making embodied AI accessible through open hardware, shared datasets, and practical deployment infrastructure.
Why It Matters for Robot Teams
Understanding embodied ai is essential for teams building real-world robot systems. Whether you are collecting demonstration data, training policies in simulation, or deploying in production, this concept directly affects your workflow and system design.