Episode Details

Abstract Cross-modal foundation models are increasingly used for robotic task understanding and planning. However, connecting multimodal observations and natural language instructions to symbolic planners and executable robot actions remains a challenge. This paper addresses long-horizon robotic manipulation tasks using LLM-driven symbolic planning. In this episode of Embodied AI 101, we explore "The LLM Proposes, the Planner Disposes: VLA-SP for Verifiable Robot Manipulation". We break down the research, methodology, and real-world implications for robotics, AI, and physical intelligence. Embodied AI 101 covers the latest research at the intersection of AI and physical intelligence — robotics, manipulation, world models, and the path from digital intelligence to embodied agents.