Robotics

Boston Dynamics opens Metaplant Application Center to train Atlas humanoid robots

Atlas is now in training in the Metaplant Application Center near Savannah, Ga. Source: Boston Dynamics On the path to general-purpose automation, developers are training humanoid robots on specific skill sets. Boston Dynamics Inc. today opened its Robotics Metaplant Application Center, or RMAC, at Hyundai Motor Group Metaplant America. The company said the Georgia facility is a testbed and training center for integrating its Atlas humanoids directly into parent Hyundai’s automotive manufa

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Boston Dynamics has opened a permanent facility called the Robotics Metaplant Application Center at an automotive manufacturing plant to train and test its Atlas humanoid robots on real factory tasks. The facility represents a shift from previous small-scale robot trials to a larger operation focused on collecting high-quality training data by having Atlas robots learn to handle automotive parts, which requires complex manipulation skills like grasping fragile components and managing awkwardly shaped items. The center is designed to prepare Atlas for broader deployment across manufacturing plants, with the parent company planning to deploy thousands of units globally over the coming years. Boston Dynamics expects to continue scaling up data collection and training through 2027, with plans to expand the facility significantly and eventually explore applications in other industries beyond automotive.

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Can AI agents program industrial robots without training data? Berkeley says yes

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Boston Dynamics adds wheels to Atlas humanoid to test whole-body control

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Practice Makes Precise: At CoRL, NVIDIA and Partners Reveal How Robots Rehearse Delicate Work in Simulation

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Memories.ai builds standardized egocentric video pipeline

Memories.ai models label every clip: Memories-H0 for hand pose, EgoAction for action segments. | Credit: Memories.ai Memories.ai is building a data pipeline for robotics companies that combines standardized video collection with AI-powered annotation to turn everyday egocentric footage into training data for robots. The San Francisco-based company is developing software and AI to help robots understand the physical world. It builds video-understanding models and data infrastructure, and it colle