Bot developers can scale global teams testing to navigate environments, underscoring the importance of easy access to simulators for fast input and iteration.
Developers will have three options to access it. It will be available soon on the new NVIDIA Omniverse Cloud The platform, which is a set of services that enable developers to design and use metaverse applications from anywhere. It’s available now AWS RoboMakerIt is a cloud-based simulation service for developing and testing robots. Developers can download it from NVIDIA NGC And publish it on any public cloud.
With these options for accessing Isaac Sim in the cloud, individuals and teams can develop, test and train AI-enabled robots at scale and in a workflow that best suits their needs. It comes at a time when the need is greater than ever.
Keep in mind that the global mobile robotics market is expected to grow 9 times from $13 billion in 2021 to more than $123 billion in 2030, according to ABI research.
“NVIDIA’s move to provide its visual computing capabilities as an autonomous robot training platform in the cloud will enable a growing number of companies and developers who are building next-generation intelligent machines for many applications,” said Rob Enderle, principal analyst for the Enderle Group.
With Isaac Sim in the cloud, robotics scientists will be able to create large datasets from physically simulating micro-sensors to train AI-based cognition models on their robots. The synthetic data generated in this simulation improves model performance and provides training data that often cannot be collected in the real world.
Developers can now test the bot by running sets of parallel simulations that exercise the software suite in many environments and across different conditions to ensure the bots perform as designed. Continuous testing and continuous delivery, or CI/CD, of a sophisticated botnet software suite is an important component of successful bot deployments.
Isaac Sim in the cloud will make it easier to meet the most computing intensive simulation tasks such as CI/CD and synthetic data generation.
It will include the next version of Isaac Sim NVIDIA cuOptEngine for real-time fleet assignment and route planning to improve robot route planning. By leveraging the accelerated performance of the cloud, teams can make dynamic, data-driven decisions, whether it’s designing the perfect repository or optimizing active operations.
Remote collaboration and improved access
The development of robots is an interdisciplinary endeavour. Mechanical and electrical engineers, computer scientists, and artificial intelligence engineers come together to build a robot. With Isaac Sim in the cloud, these teams can be located all over the world and still be able to share a virtual world to simulate and train robots.
Running Isaac Sim in the cloud means developers are no longer tied to a powerful workstation to run simulations. Any device will be able to set up, manage and review the results of the simulations.
The results can be shared outside the simulation team with potential partners, clients, and co-workers.
Register for free to attend the 2-hour GTC hands-on workshop on Using Isaac Sim with AWS RoboMmaker.
Also learn more about Isaac Sim’s features and capabilities in the following GTC sessions:
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