Researchers at Carnegie Mellon University and Nvidia have developed a system called ASAP, which helps humanoid robots move more like real humans by bridging the gap between simulation and real-world physics. By first learning movements in a virtual environment and then refining them with real-world data, robots can replicate the agility and coordination of legendary athletes like Cristiano Ronaldo and Kobe Bryant. This breakthrough could lead to more capable robots that assist in workplaces, homes, and even high-risk environments, bringing us closer to a future where machines move as naturally as we do.
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Researchers at Carnegie Mellon University and Nvidia have developed a system called ASAP, designed to bridge the gap between simulation and real-world physics.
