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Unitree unveils new system to choreograph groups of humanoid robots from one place

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Unitree unveils new system to choreograph groups of humanoid robots from one place

Unitree Robotics has introduced UniUni, a control system the simplifies coordinating multiple robots during performances. The system allows operators to manage robot teams and make choreography changes using natural-language instructions.

It also provides tools for monitoring robot status and managing coordinated movements through a centralized interface. The launch highlights the company’s efforts to make multi-robot control more accessible, combining choreography management with real-time monitoring and safety features for synchronized robotic performances.

UniUni is an intelligent swarm control system that coordinates robot performances through stage mapping, motion programming, natural-language instructions, and real-time hardware monitoring.

The system combines choreography tools and device management into a single interface, allowing operators to arrange robot movements, modify formations, and monitor individual machines during a performance. Unitree’s demonstration also shows an AI choreography feature that lets users request changes through text prompts, potentially simplifying the process of adjusting complex routines.

In its announcement, the company highlights rapid choreography editing, live device monitoring, and emergency-stop controls as key features of the system.

UniUni includes a stage-mapping interface that displays a LiDAR-generated point-cloud representation of the performance area. Unitree advertises centimeter-level scene construction, providing a spatial representation that operators can use to plan robot positions and movements.

The interface also features a choreography editor with a separate timeline track for each robot. An integrated action library provides predefined dance movements that operators can arrange into routines, giving them a visual way to manage multiple performers and coordinate their actions.

This timeline-based approach allows individual robot movements to be organized within a shared performance sequence.


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