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Today we’re introducing KinetIQ, Humanoid’s own AI framework for end-to-end orchestration of humanoid robot fleets across industrial, service, and home applications. A single system controls robots with different embodiments and coordinates interactions between them.

The architecture is cross-timescale: four layers operate simultaneously, from fleet-level goal assignment to millisecond-level joint control. Each layer treats the layer below as a set of tools, orchestrating them via prompting and tool use to achieve goals set from above. This agentic pattern, proven in frontier AI systems, allows components to improve independently while the overall system scales naturally to larger fleets and more complex tasks.

Our wheeled-base robots run industrial workflows: back-of-store grocery picking, container handling, and packing across retail, logistics, and manufacturing. The bipedal robot is our R&D platform for service and home, showcasing voice interaction, online ordering, and grocery handling as an intelligent assistant.