Boston Dynamics has officially launched a dedicated training center for its humanoid robot Atlas in the United States.
The Hyundai Motor Group's robotics subsidiary announced on September 21 that it has opened the Robotics Metaplant Application Center (RMAC) at the Hyundai Motor Group Metaplant America (HMGMA) in Georgia, marking the start of full operations.
RMAC serves as a testbed where Atlas can learn and validate tasks in an environment that closely resembles actual manufacturing facilities before being deployed in Hyundai's automotive production lines. Here, Atlas will learn logistics preparation and sequencing tasks, such as arranging automotive parts in the correct order for assembly.
After a pilot operation in June, RMAC will relocate to a separate facility within the HMGMA site next year, expanding its size by approximately tenfold. Boston Dynamics plans to enhance Atlas's learning capabilities by broadening data collection and task scope starting next year, with an aim to include component assembly by 2030. The application areas will later expand to include repetitive tasks and high-intensity work, such as lifting heavy objects.
Hyundai Motor Group plans to gradually deploy 25,000 Atlas units across its global operations within a few years. Last month, the company detailed its robotics and physical AI strategy centered around Boston Dynamics during its CEO Investor Day, with plans to incrementally expand robot production facilities to reach an annual production capacity of 30,000 units by 2028.
Jack Jakowski, Chief Product and Technology Officer at Boston Dynamics, stated, "The Robotics Metaplant Application Center reinforces our shared vision of enabling robots to work more safely and productively, thereby expanding human potential."
Meanwhile, Hyundai Motor Group and Boston Dynamics will release a documentary titled 'Robotics Competition: At the Forefront,' co-produced with Bloomberg Media Studios, on September 30. The documentary will showcase Atlas learning tasks based on real automotive manufacturing data, as well as the processes for verifying safety, reliability, and performance.
* This article has been translated by AI.
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