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Advanced Control System Helix 02 Enhances Collaborative Capabilities of Humanoid Robots

The humans behind H-u-m-a-n-o-i-d.com June 2, 2026 2 min read
Advanced Control System Helix 02 Enhances Collaborative Capabilities of Humanoid Robots

Figure AI has recently unveiled an advanced control system named Helix 02, designed to manage its humanoid robots. This system can guide the robots without the need for a centralized planner, enabling seamless and autonomous collaboration, as showcased in a video that captured public attention. In the video, two F.03 robots were filmed tidying up a bedroom in less than two minutes. The most impressive scene depicts the robots working together to make a bed. Positioned on opposite sides of the bed, they lift and spread the duvet, smoothing out wrinkles and adjusting to each other’s movements. This action highlights not only their ability to cooperate but also the effectiveness of the Helix 02 system in translating visual instructions into coordinated movements.

A distinctive feature of Helix 02 is the absence of a central director or message exchange between the robots. Each robot uses its cameras to observe the environment and infer the other’s intentions based on movements. This decentralized approach allows the robots to quickly adapt to changes in the environment, making them more versatile and responsive. The Helix 02 system integrates a “muscle memory,” enabling the robots to learn and enhance their skills over time. In the video, the robots not only make the bed but also perform a series of other actions such as opening doors, hanging clothes, and disposing of waste.

However, the demonstration raises questions about the versatility of these robots. It is unclear how many trials were needed to achieve these results and how they would perform in environments with furniture or objects not present during training. The technology developed by Figure AI signifies a significant step towards the future of robotics. The ability to work autonomously and collaboratively could have applications in various sectors, from household assistance to logistics. Nevertheless, it is crucial to continue exploring the possibilities and limitations of these systems to fully grasp their potential and the challenges that may arise.

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