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Mastering the flip: Learning from human intent. 🤖 The NEO @1x.technologies robot isn't just following a rigid script; it is mastering dynamic tasks through teleoperation and imitation learning. By recording motion data and sensor feedback from a human operator, machine learning models allow the robot to reproduce complex movements independently. This specific clip showcases how quickly a humanoid can adapt to a flipping pattern after being exposed to human demonstrations, effectively bypassing
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Ready to accelerate your robots' learning? 🦾 Isaac Lab 2.3 is now generally available. 🎉 New features let you enhance humanoid robots with advanced whole-body control, improved imitation learning, and more natural locomotion. Plus, Omni.PhysX is now open-source. 🔓 Learn more: https://nvda.ws/4pnsDXd | NVIDIA Robotics
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