The Isaac and GR00T projects aim to use GenAI applied to robotics and automation to put NVIDIA at the forefront of the new industrial revolution
NVIDIA has demonstrated the potential of its AI technologies applied to robotics lead the new industrial revolution during your pre-conferenceComputex, Sunday (2). The Isaac and GR00T projects, originally presented at GTC 2024, combine foundations and GPU-accelerated libraries incorporate artificial intelligence and machine learning into robots.
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The idea is to promote the accelerated and safe development of industrial automation by reducing as much as possible the need for people, for example, to carry out risky tasks. While the The Isaac Project is more generalistand to some extent is already used in industrial processes, the GR00T (Generalist Robot 00 Technology) project is more ambitious and seeks to enable natural movements in humanoid robots.
“Building fundamental models for general-purpose humanoid robots is one of the most exciting problems being solved in artificial intelligence today. Enabling technologies are coming together to enable leading robotics experts around the world to make great strides toward general robotics artificial,” said Jensen Huang, CEO of NVIDIA.
Robotics based on artificial intelligence
There is a lot of talk about the potential of artificial intelligence to increase productivity in purely computational tasks, such as big data processingimage creation e even in games. However, when Jensen Huang says that artificial intelligence is driving a new industrial revolution, his vision is much broader.
OR Industrial IoT already makes it possible to automate a series of delicate and even risky processes, but essentially, due to the way production lines are built, it is necessary to have highly specialized robots for each type of process. According to Huang himself, all the things we build are created with our structure in mind, with head, torso, arms, hands and these tools we are born with are already precise and specialized.
Enabling humanoid robots capable of reproduction precision our natural movements, it is possible to create more general machinery, capable of carrying out multiple tasks within a production line. In this way, the same robot can be redesigned for different operations depending on demand, creating more concise, but equally efficient infrastructures compared to current ones, with one type of robot for transporting heavy equipment and another for moving parts delicate.
“Integrating new fundamental model generation tools into the Isaac platform accelerates the development of smarter, more flexible robots that can be generalized to perform numerous tasks,” said Deepu Talla, Vice President of Robotics and Edge Computing at NVIDIA.
The Isaac and GR00T designs are still in development, but are already compatible with SoCs, such as NVIDIA Thor, which, among other applications, will be used in autonomous vehicles.
OR Canaltech traveled to Taipei, Taiwan to cover Computex 2024 at Taitra’s invitation.
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Source: Terra
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