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NVIDIA Advances Robot Learning and Humanoid Development With New AI and Simulation Tools, enabling developers to accelerate robot dexterity, control, manipulation, and mobility. Learn more about the company's latest innovations and their implications for the robotics industry.
NVIDIA has unveiled new AI and simulation tools for robot learning and humanoid development. Isaac Lab, an open-source platform, enables developers to train robot policies at scale. Ledding companies have adopted Isaac Lab, solidifying its position in the robot learning ecosystem. NVIDIA has launched Project GR00T to accelerate humanoid robot development with six new workflows. The workflows provide blueprints for advanced humanoid robot capabilities, including generative AI, motion generation, and perception. New world-model development tools, such as the NVIDIA Cosmos tokenizer and NeMo Curator, have been introduced. The tools offer superior visual tokenization and video processing curation, enabling developers to simplify application development.
NVIDIA has made significant strides in advancing the field of robot learning and humanoid development, unveiling new AI and simulation tools that are set to revolutionize the way robots interact with their environment. At the Conference for Robot Learning (CoRL) in Munich, Germany, the company presented its latest innovations, including the general availability of NVIDIA Isaac Lab, a unified robot learning framework built on NVIDIA Omniverse.
Isaac Lab is an open-source platform designed to handle increasingly complex movements and interactions across various robot embodiments, from humanoids to quadrupeds and collaborative robots. The framework enables developers to train robot policies at scale, making it an attractive solution for commercial robot makers, robotics application developers, and research entities worldwide.
Leading companies such as 1X, Agility Robotics, The AI Institute, Berkeley Humanoid, Boston Dynamics, Field AI, Fourier, Galbot, Mentee Robotics, Skild AI, Swiss-Mile, Unitree Robotics, and XPENG Robotics have already adopted Isaac Lab, further solidifying its position as a key player in the robot learning ecosystem.
In addition to Isaac Lab, NVIDIA has also launched Project GR00T, an initiative aimed at accelerating humanoid robot development. This comprehensive project offers six new workflows designed to help developers realize challenging humanoid robot capabilities, including:
1. GR00T-Gen: Building generative AI-powered, OpenUSD-based 3D environments
2. GR00T-Mimic: Robot motion and trajectory generation
3. GR00T-Dexterity: Robot dexterous manipulation
4. GR00T-Control: Whole-body control
5. GR00T-Mobility: Robot locomotion and navigation
6. GR00T-Perception: Multimodal sensing
These workflows provide developers with blueprints to realize advanced humanoid robot capabilities, making it easier for them to create robust and efficient robots.
Furthermore, NVIDIA has also introduced new world-model development tools, including the NVIDIA Cosmos tokenizer and NeMo Curator for video processing. The Cosmos tokenizer offers superior visual tokenization by breaking down images and videos into high-quality tokens with exceptionally high compression rates, running up to 12x faster than current tokenizers. This technology enables developers to simplify the development of generative applications across various visual domains.
NeMo Curator provides video processing curation, allowing robot developers to improve world-model accuracy by processing large-scale text, image, and video data. The tool includes a video processing pipeline that streamlines data curation with automatic pipeline orchestration, reducing processing time significantly.
The advancements in NVIDIA's AI and simulation tools have significant implications for the robotics industry, enabling developers to create more sophisticated robots that can interact with their environment in a more human-like manner. With these new tools, companies such as 1X, Agility Robotics, The AI Institute, Berkeley Humanoid, Boston Dynamics, Field AI, Fourier, Galbot, Mentee Robotics, Skild AI, Swiss-Mile, Unitree Robotics, and XPENG Robotics can accelerate their work on AI-enabled robots, including humanoids.
NVIDIA's commitment to advancing the field of robot learning and humanoid development is a testament to its dedication to innovation and customer satisfaction. By providing developers with cutting-edge tools and technologies, NVIDIA aims to empower the robotics community to create more efficient, robust, and intelligent robots that can improve daily life.
In summary, NVIDIA has made significant strides in advancing the field of robot learning and humanoid development, unveiling new AI and simulation tools that are set to revolutionize the way robots interact with their environment. The company's innovative approach to robotics is driven by its commitment to providing developers with cutting-edge technologies that enable them to create more sophisticated robots.
Related Information:
https://blogs.nvidia.com/blog/robot-learning-humanoid-development/
Published: Wed Nov 6 10:59:11 2024 by llama3.2 3B Q4_K_M
