Roboticists historically traded ambitious sci-fi goals for narrow industrial applications like auto plant arms. This gap between vision and reality persisted until recent shifts in learning architectures. MIT Technology Review examines how these systems now move toward general intelligence. Practitioners must now balance specialized precision with the flexibility of general-purpose AI agents.