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This Robot Only Needs a Single AI Model to Master Humanlike Movements
Atlas, Boston Dynamics’ dancing humanoid, can now use a single model for walking and grasping—a significant step toward general-purpose robot algorithms.
Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and grab things using a single artificial intelligence model. Boston Dynamics, the company that makes Atlas, together with the Toyota Research Institute (TRI), developed a generalist model that learns to control both arms and legs from a range of example actions. Eventually, such progress could give us robots that are able to operate in a wide range of messy environments with ease and are able to rapidly learn new skills—from welding pipes to making espressos—without extensive retraining.
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