Artificial intelligence solution provider NVIDIA has introduced a set of new AI and simulation tools aimed at accelerating the development of AI-enabled robots, including humanoid robots.
The updates include the general availability of the NVIDIA Isaac Lab, an open-source framework for robot learning; the introduction of six new workflows under Project ‘GR00T’, an initiative to speed up humanoid robot development; and a series of new tools for creating world models, including the NVIDIA Cosmos tokeniser and NeMo Curator for video processing.
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These new technologies are designed to support a range of robotic applications, from basic mobility to complex humanoid dexterity and manipulation.
The Isaac Lab is a robot learning framework built on the NVIDIA Omniverse platform, which is used for industrial digitalisation and AI simulation.
The open-source platform enables developers to train robot policies at scale, offering a unified solution for a variety of robotic embodiments—whether humanoids, quadrupeds, or collaborative robots.
The platform allows developers to simulate complex environments, train robots to perform intricate movements, and improve robot-environment interaction.
Project GR00T focuses on accelerating humanoid robot development by providing developers with advanced libraries, models, and workflows.
The initiative introduces workflows for building humanoid robots, which address key challenges in robot mobility, manipulation, and perception.
Jim Fan, senior research manager of embodied AI at NVIDIA, said: “NVIDIA research and engineering teams are collaborating across the company and our developer ecosystem to build Project GR00T to help advance the progress and development of global humanoid robot developers.”
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