Loading and unloading parcels, now robots?... Figure AI, logistics management AI revealed

A scene has been released of a humanoid robot equipped with the vision, language, and action (VLA) artificial intelligence (AI) model 'Helix' from US-based FigureAI sorting multiple boxes and packages on a conveyor belt.



On the 26th (local time), FigureAI announced that humanoid robots equipped with the AI ​​model Helix can perform the following: △full body control △multi-collaboration between robots △grabbing all objects △using a single neural network △being commercially usable.



FigureAI's 'Figure 02' models are standing next to a logistics sorting conveyor belt. [Photo = FigureAI]



Figure 02 model is sorting deliveries on a conveyor belt. [Photo = FigureAI]



Figure 02 model is sorting deliveries on a conveyor belt. [Photo = FigureAI]



"Hmm, there's no logistics label?" An object seen from the perspective of FigureAI's 'Figure 02'. [Photo = Figure AI]



In the video released by Figure AI, humanoid robots stood next to a conveyor belt and sorted and moved plastic bag packages and paper boxes of various sizes and weights according to certain criteria.



These robots delicately controlled their wrists, upper bodies, heads, and individual fingers to pick up packages of different sizes with their hands. They also checked whether the shipping labels were attached straight.



The robots can sort packages according to different criteria and can also adjust their work speed.



Figure AI explained, "With the VLA AI model Helix, the robot is capable of vision, language recognition, and delicate movement control," and "Since it uses a single neural network, it can perform various actions without additional learning for specific tasks." In



the past, humanoid robots required a process of repeatedly learning the same actions, but Figure AI equipped with Helix AI means that the robot can make judgments and move on its own even in situations it encounters for the first time.



In order for a humanoid robot to perform an action, it requires the following methods: △ a new action directly programmed by an expert △ a fleet model (a method in which multiple robots are connected to a network to collect data and learn) △ a fleet model + helix (learning new actions immediately without model learning).



However, direct programming by an expert can be accurate, but has the disadvantage of being very slow. The fleet model mainly used by robot companies is faster than the previous method, but it was still limited in increasing the learning speed.



The method of combining Helix AI with the fleet model released by Figure AI on this day is characterized by being able to immediately learn new actions without separate programming or model learning for the robot. In addition, humans can give the robot new tasks through natural language commands.



The robot industry is responding that the logistics package sorting task, called 'package loading and unloading', has become possible through Helix AI.



An industry insider explained, "From solid boxes to deformable vinyl packages, the weight, size, shape, and rigidity are very diverse, making it difficult for robots to replicate recognition no matter how much they simulate, but Helix AI has made it possible."



However, Figure AI did not disclose the weight that the humanoid robot can move at once.



It is also noteworthy that Figure AI first unveiled Helix AI on the 20th and added new functions in about a week.



In the video previously released by Figure AI, the robots recognized and moved eggs to the refrigerator and pasta to the basket. In particular, a scene was produced where the two robots appeared to be communicating with each other face to face.



Meanwhile, Figure AI plans to supply humanoid robots in large quantities to the German automobile company BMW. In addition to BMW, it has signed a robot supply contract with a large manufacturer in the United States.





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