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Robots with AI support will change the way we live and work. Thanks to AI, robots are able to perceive or interact with their environment in completely new ways. As a result, robots can now take on tasks that would previously have been unthinkable for them.
Robots offer endless opportunities to increase efficiency and improve the quality of life for people in industries such as manufacturing, logistics, and services. NVIDIA Isaac accelerates the process through improvements in the design, Simulation, and Deployment of Robots.
The NVIDIA® Isaac™ software development kit (SDK) gives robots their intelligence. The platform is equipped with comprehensive tools, application frameworks, GPU-enabled algorithms, reference designs, and pre-trained functions to accelerate development workflows for robotics applications.
NVIDIA® Isaac™ Sim on Omniverse™ is a robotics simulation application and synthetic data generation tool. It is designed to help you develop, test, and manage AI robots in a photorealistic, physically accurate, high-fidelity 3D environment. Isaac Sim not only excels in the scalability and interoperability of the Omniverse platform, but can be deployed in both on-premises and cloud-based systems.
It has never been easier to create datasets for training robots thanks to powerful features such as domain randomization. In addition, Isaac Sim simplifies perceptual model training using multiple simulated sensors, allowing development teams to more easily create proofs of concepts, make workflows more efficient, and shorten overall development times.
Jetson AGX Xavier is the world's first computer designed specifically for robotics. With more than nine billion transistors, it offers 32 trillion operations per second for Deep Learning, as well as 10 times the energy efficiency and more than 20 times the performance of its predecessor, NVIDIA Jetson™ TX2.
Jetson AGX Xavier helps robots understand what is happening in their environment. It does this using six high-performance processors, a 512-core Tensor Core GPU that matches the NVIDIA Volta™ architecture, an eight-core Carmel ARM64 CPU, a dual NVIDIA Deep Learning accelerator, and processors for image, vision, and video data.