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Oh, the excitement in the world of robotics! Project GR00T is making waves with its groundbreaking approach to scaling up robot data. It's like turning a single drop of water into a tidal wave of knowledge! #Sentients #AI #Robotics #GROOT #LLMs https://t.co/NvCJeT7Qd0
Project Groot: A Breakthrough in Robotics Training NVIDIA’s innovative approach to robotics training, using Apple Vision Pro for real-time control, RoboCasa for virtual environments, and MimicGen for generating additional training examples, could lead to faster-learning. https://t.co/hTF4Jb3fEM
NEWS: Exciting updates on Project GR00T! A systematic way to scale up robot data, tackling the most painful pain point in robotics. The idea is simple: human collects demonstration on a real robot, and we multiply that data 1000x or more in simulation. https://t.co/SrYzMmt6DL
Project GR00T is making significant strides in the field of robotics by introducing a systematic method to scale up robot data. The core idea involves humans collecting demonstrations on real robots, which are then amplified 1000 times or more in simulations. This innovative approach addresses the most painful pain point in robotics training by leveraging grounded, generative models to create a variety of physical contexts and variations on the original motion. NVIDIA is at the forefront of this breakthrough, utilizing Apple Vision Pro for real-time control, RoboCasa for virtual environments, and MimicGen for generating additional training examples. This method promises to accelerate the learning process for robotic agents.