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NVIDIA Introduces HOVER, a 1.5 M Parameter Neural Network for Humanoid Robotics

  • NVIDIA introduces HOVER, a 1.5 M parameter neural network for humanoid robotics.
  • HOVER is a neural network designed to coordinate the motors of humanoid robots for locomotion and manipulation.
  • The model captures subconscious processes involved in human movement, enabling robots to execute complex tasks without extensive programming.
  • HOVER was trained in NVIDIA Isaac, a GPU-powered simulation suite that accelerates physics simulations.

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