Episode Details

Generalist robots need to perform diverse tasks while operating in dynamic, uncertain, and unstructured environments, often around human beings. Vision-language-action (VLA) models have recently emerged as a promising and flexible approach to enabling generalist robot behavior. This is a systematic literature review of VLA models for generalist robots. In this episode of Embodied AI 101, we explore "VLAs in the Wild: What 142 Papers Really Say About Generalist Robot Intelligence". 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.