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Cogniteam’s Nimbus cloud-based robotics development and deployment platform now supports NVIDIA‘s Jetson edge AI lineup. Cogniteam said more of its customers are moving to NVIDIA’s GPU-accelerated technologies that can be developed and deployed through the cloud.
The Nimbus drag-and-drop platform enables software development teams and hardware teams to work in parallel, cutting robotic project development time. Rapid up-time for cameras, spatial awareness sensors, and other advanced technologies from any developer can be uploaded to assets around the globe thanks to cloud-based deployment.
The latest NVIDIA Isaac release includes significant support for the Robot Operating System (ROS), where NVIDIA has released new Isaac GEMs, hardware-accelerated software packages that make it easier for ROS developers to build high-performance AI-enabled robots on the Jetson platform. Software developers can now install advanced AI algorithms from NVIDIA Isaac ROS GEMs and standard ROS packages in just a few clicks.
“We’ve been synchronizing ROS and other third-party integrations since the rollout of the Nimbus platform. The new capabilities of Isaac ROS GEMs ushers in a new era of streamlined development, testing, and deployment,” said Cogniteam co-founder and CEO Dr. Yehuda Elmaliah. “Pulling from open source to commercial libraries, developers can work harmoniously to test AI algorithms without the worries of compatibility hassles.”
Cogniteam said basic programming through Nimbus can be done even with minimal experience.
“This allowed us to begin addressing complex development challenges nearly immediately, without reinventing the wheel,” said Gal Frenkel, co-founder and CEO of RoboDeck. “We worked with Cogniteam to implement their industry-tested sensor technologies with NVIDIA’s advanced algorithms and ROS capabilities. Nimbus gave us a powerful investor-ready prototype way ahead of schedule, getting us better prepared for production.”
NVIDIA and Open Robotics, the organization behind ROS, recently deepened their partnership to accelerate the performance of ROS 2 on NVIDIA’s Jetson edge AI platform and GPU-based systems. The initiative will reduce development time and improve performance for developers seeking to incorporate computer vision and machine learning functionality into their ROS-based applications.
At CES 2022, NVIDIA released its Isaac AMR platform that is designed to accelerate deployment of AMRs. The system is targeted towards large deployments in big facilities, where mapping can be time consuming and fleet management can be tricky. Isaac AMR works with a number of NVIDIA’s platforms, including Omniverse, Isaac Sim, DeepMap, Metropolis and ReOPT.