Humanoid builds AI brain for fleet-level humanoid robot control

Humanoid has introduced KinetIQ, an AI system designed to control and coordinate fleets of diverse robots—ranging from wheeled industrial machines to bipedal humanoids—under a single digital brain. Unlike traditional task-specific controllers, KinetIQ provides a unified intelligence layer that assigns goals, plans actions, and manages execution across multiple robots with different physical designs and capabilities. This shared AI framework enables data and skill transfer between robots, accelerating learning and scalability without retraining each unit independently. The system dynamically reallocates tasks among robots based on suitability, marking a shift from isolated machines to fleet-level intelligence. KinetIQ operates through four simultaneous layers: a fleet-level AI that manages overall goals and integrates with facility management systems; a robot-level reasoning layer that breaks down tasks and adapts plans based on real-time input; a task execution layer that generates precise motion commands; and a low-level joint control layer ensuring balance and smooth movement. This architecture supports varied applications in industrial, retail, and home environments