NVIDIA Releases Isaac Simulator to Accelerate Development of Autonomous Robots
【Summary】The robots are coming, thanks to help from Nvidia. The company announced the expansion of its Isaac platform to build robotics applications, a move that will accelerate the development and deployment of autonomous robotics across a broad range of industries.
The robots are coming, thanks to help from Nvidia. NVIDIA announced the expansion of its Isaac platform to build robotics applications, a move that will accelerate the development and deployment of autonomous robotics across a broad range of industries.
Unveiled at the GPU Technology Conference by NVIDIA founder and CEO Jensen Huang, the Isaac software development kit (SDK) is a open-source collection of libraries, drivers, APIs and other tools. The SDK will save manufacturers, researchers, startups and developers hundreds of hours by making it easy to add AI into next-generation autonomous robots for perception, navigation or manipulation.
It also provides a framework to manage communications and transfer data within the robot architecture. And it makes it easy to add sensors, manage sensor data and control actuators in real time.
Part of the SDK is Isaac Sim, a simulation environment for developing, testing and training autonomous machines in the virtual world. The algorithms trained in simulation are then deployed to NVIDIA Jetson for AI computing at the edge, bringing the robots to life.
NVIDIA also showed off the first reference design based on the Isaac SDK, dubbed Carter — for its ability to cart around objects. The tiny delivery robot was onsite this week in the NVIDIA booth at GTC's Exhibition Hall.
Isaac Sim Makes Training Simple
The field of robotics presents nearly unlimited opportunities. However, training and testing of physical robots can be costly, time consuming and even dangerous when testing in public places.
NVIDIA's Isaac Sim, an evolution of Nvidia's Isaac Lab, and allows developers to train and test autonomous machines created with the Isaac SDK, in detailed, highly realistic scenarios. This is done using a suite of development tools for high-fidelity simulation and advanced real-time rendering.
Isaac Sim is tightly coupled to the tools and framework present in the Isaac SDK, enabling the seamless transfer of data and algorithms to and from the physical robot — which is vital for accelerating robot development at warp speed.
From Months to Minutes
Engineering and testing that would normally take months can be done in minutes. Once a simulation is complete, the trained system (brain) can be transferred to physical robots.
Jetson combined with the Isaac SDK and Isaac Sim makes the NVIDIA Isaac platform ideal for developing and deploying robotic applications in manufacturing, logistics, delivery, agriculture, service, construction, inspection and other areas.
The Carter open-source design will be available to developers on GitHub later this year.
Originally from New Jersey, Eric is a automotive & technology reporter covering the high-tech industry in Silicon Valley. Eric has over 15 years of automotive experience and a bachelors degree in computer science. These skills, combined with technical writing and news reporting, allows him to fully understand and identify new and innovative technologies in the auto industry and beyond. He has worked at Uber on self-driving cars and as a technical writer, helping people to understand and work with technology. Outside of work, Eric likes to travel to new places, play guitar, and explore the outdoors.
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