Humanoid Introduces KinetIQ as Unified AI Framework for Humanoid Robot Fleets

• Humanoid announced KinetIQ, an internal AI framework designed to orchestrate humanoid robot fleets across industrial, service, and home environments.
• The system uses a four-layer, cross-timescale architecture that coordinates robots with different physical designs under a single control framework.

Humanoid introduced KinetIQ, its proprietary AI framework for end-to-end orchestration of humanoid robot fleets. Humanoid says KinetIQ is a single system that controls robots with different physical designs and coordinates how they work together. The company describes it as a system for coordinating robot operations across industrial, service, and home applications.

KinetIQ uses four layers that run at the same time, each responsible for a different level of control. The top layer manages the fleet by assigning tasks and goals to individual robots. The next layer plans how a robot should carry out its assigned work in its environment. Below that, a task execution layer runs specific actions using vision and language models. The lowest layer controls the robot’s full body in real time, keeping it balanced and moving as instructed. Humanoid says this structure lets each layer be updated independently while the overall system continues to operate as one.

Humanoid says its wheeled robots are being used for industrial tasks like grocery picking, container handling, and packing in retail, logistics, and manufacturing sites. The company also has a bipedal robot used for research in service and home settings, with functions such as voice interaction, online ordering, and grocery handling. The company says these robots are all run through KinetIQ as a shared control system.

🌀 Tom’s Take:

The four-layer design keeps planning, decision-making, and physical control separate instead of forcing them into one system. That makes the robots easier to manage, easier to update, and less likely to break when the system scales.

Source: Humanoid