Figure AI's Helix-02 humanoid robot completes full 8-hour shifts autonomously in factories

Helix-02 humanoid robot handles full 8-hour factory work shifts

In a post on X, the California-based robotics startup wrote: "Watch a team of humanoid robots running a full 8-hr shift at human performance levels. This is fully autonomous running Helix-02." The announcement builds on Figure AI's latest Helix-02 system, a unified neural network that allows humanoid robots to walk, manipulate objects, balance, and coordinate movements continuously using onboard sensors. Unlike traditional industrial robots that rely on separate controllers for movement and manipulation, Helix-02 combines vision, touch, proprioception, and whole-body control into a single learning system designed for long-horizon tasks in dynamic environments. According to Figure AI, Helix-02 enables robots to complete multi-minute tasks without resets or human intervention. In one demonstration, a humanoid robot autonomously unloaded and reloaded a dishwasher in a full-sized kitchen over four continuous minutes.

Figure AI's Helix-02 humanoid robots is pulling full 8-hour factory shifts without human help

Figure AI has made one of the most aggressive claims recently regarding the capabilities of humanoid robots driven by the Helix-02 AI system. According to the company's statement, robots based on the Helix-02 AI system can independently operate for an entire eight-hour shift without any assistance from humans. Also read: OpenAI wants to build the UN of AI: Good luck with that The main difference between Helix-02 and robotic systems introduced in the past is architecture. Most traditional industrial robots have two separated controllers: one for motion and another for manipulation. However, the Helix-02 system integrates both controllers into one neural network and allows processing all the inputs simultaneously, including vision data from cameras located on the head and palms, tactile sensors on fingertips, and joint position data throughout the body. The advantages of Helix-02 were demonstrated in several demonstrations of autonomous humanoid robot operation. For example, one robot driven by the Helix-02 AI system autonomously unloaded and then loaded a dishwasher during four consecutive minutes without interruption and resetting. Another demonstration included two robots working autonomously and simultaneously within two minutes on rearranging a bedroom: hanging clothes, making a bed, emptying the waste bin, and arranging the furniture. Not only that but Figure AI also released System 0, an end-to-end whole body neural controller with over 1,000 hours of human motion data training. This reduces more than 109,000 lines of handwritten C++ code. This should not be taken lightly since handcrafted codes tend to be fragile, whereas a learned system generalises and can handle the chaos of real-life environments that scripted logic cannot do. Also read: LG's Sanjay Chitkara on AI making appliances smarter and building products for India Fine motor skills are also remarkable. Helix-02 robots are capable of unscrewing bottle caps, extracting pills from a pill organiser, pushing accurate amounts of syringes, and manipulating metallic parts from a bin based on tactile and in-hand vision. Furthermore, the robot works on top of Figure AI's previous implementation, which had been working in BMW's plant in Spartanburg, South Carolina, handling over 10 hours per day, moving over 90,000 parts per day and producing over 30,000 cars. The race for humanoid robots in factories is very much on the table now with other companies such as Tesla, Agility Robots, and Apptronik, amongst others, competing aggressively.

This robot can do 8 hour warehouse shift without any breaks, leaving internet talking about job security

People also noticed the robot was slower and rougher than human workers while handling boxes. American robotics company Figure has shared a new video showing one of its humanoid robots performing manual labour tasks inside a warehouse setting. The robot, called Helix-02, was seen sorting packages and placing them carefully onto a moving belt. Figure claimed that a team of such robots can complete a full eight-hour shift while matching human performance levels. The clip quickly caught attention online as it offered another glimpse into how AI-powered robots are slowly entering real workplace environments. While the robot successfully completed the task shown in the video, the footage also highlighted some clear differences between machine movement and human handling during physical labour jobs in warehouses and factories today. In the video shared by Figure on its official X handle, the Helix-02 robot can be seen lifting packages one by one and adjusting their position before placing them onto a rotating conveyor belt. The robot makes sure that every package faces the correct direction before pushing it forward for the next step in the process. The company presented the clip as an example of how humanoid robots can handle repetitive tasks that are usually performed by workers in warehouses and logistics centres. Figure also suggested that multiple robots working together could complete long shifts without breaks. Also read: OpenAI is offering two months of Codex access for free, but there is a catch Even though the robot successfully carried out the task, the video also revealed certain limitations. The speed of the robot appeared slower than what is normally expected from a human worker performing the same activity. Another apparent problem with the machine was the process of handling packages. Unlike people, the machine was not very gentle during the handling of boxes. It is quite possible that sometimes the packages were being roughly thrown to the floor, which could lead to damage to goods packed in them. In the same way, the way the machine pushed boxes toward the conveyor line also appeared rather rough. Also read: Is Sam Altman using OpenAI partnerships to grow his personal wealth? Court filings raise questions Although there are many problems that can be seen with this technology, it still indicates the fast development of AI robotics. Moreover, the machines like Helix-02 can be used in those fields that require repetitive manual labour which is life-threatening. Through updates in the future, some problems such as poor movement and slow speed will surely be solved.