Cogniteam’s Nimbus supports cloud-enabled robotic deployment based on the NVIDIA Jetson Edge AI Platform


Cogniteam integrates NVIDIA Isaac GEMs with Nimbus and streamlines robotics from development to deployment using the NVIDIA Jetson platform

Dr. Yehuda Elmaliah, Co-Founder and CEO of Cogniteam.

Cogniteam found a way to implement the NVIDIA Jetson module and NVIDIA SDKs in its plug-and-play program, Nimbus, so teams can leverage the power of NVIDIA GPU technology while collaborating from anywhere in the world.

▶ Nvidia’s Jetson chipset can run in cloud-based programs where it was previously thought to be inoperable
▶ Integration of the Isaac AI functions from Nvidia in edge robots
▶ Software developers can now install advanced AI algorithms from NVIDIA Isaac packages, ROS GEMs and standard ROS packages with just a few clicks.
▶ All of this is possible with basic programming knowledge when using Nimbus
▶ How Robodeck has already provided robots based on Nimbus’s NVIDIA integration

[Petach Tikva, Israel] Cogniteam announced today that it is supporting the NVIDIA Jetson Edge AI platform in its cloud-based robotics development and delivery platform, enabling cloud-ready deployments to use NVIDIA technology for the first time. More and more customers are moving to NVIDIA’s GPU-accelerated technologies, which can be developed and delivered through the cloud. This is made possible by Nimbus’ packaging of field-proven software such as sensors and AI functions, based on over a decade of Cogniteam’s work with corporate organizations.

Nimbus’ cloud-based drag-n-drop platform has opened the door for software development teams and hardware teams to work in parallel and cut development time for robot projects by up to 80%. The rapid availability of any developer’s cameras, spatial perception sensors, and other advanced technologies, which normally take up a large chunk of development and budget, can now be instantly uploaded to assets around the world thanks to cloud-based provisioning.

The latest version of NVIDIA Isaac brings significant support to the Robot Operating System (ROS) developer community, where NVIDIA has released new Isaac GEMs, hardware-accelerated software packages that make it easier for ROS developers to build powerful AI-enabled robots on the Jetson platform. Software developers can now install advanced AI algorithms from NVIDIA Isaac ROS GEMs and standard ROS packages with just a few clicks.

This unique cloud-based approach leverages the power of NVIDIA technology and enables teams to work together anywhere in the world. “We have synchronized ROS and other third-party integrations since we launched the Nimbus platform. The new capabilities of the Isaac ROS GEMs usher in a new era of streamlined development, testing and deployment, ”said Dr. Yehuda Elmaliah, Co-Founder and CEO of Cogniteam. “When developers move from open source to commercial libraries, they can work in harmony to test AI algorithms without worrying about compatibility issues.”

Nimbus’ ease of use means that basic programming can be done with minimal experience. By reducing development time not just for large companies, but for any organization that wants to develop a quick prototype to better understand the business implementations of a potential product. “This enabled us to begin addressing complex development challenges almost immediately without reinventing the wheel,” said Gal Frenkel, Co-Founder and CEO of RoboDeck. “We worked with Cogniteam to implement their industry-proven sensor technologies with NVIDIA’s advanced algorithms and ROS capabilities. Nimbus provided us with a high-performance prototype that was suitable for investors much earlier than planned and thus better prepared us for production. “

As more and more customers switch to Nimbus to take advantage of their NVIDIA integrations, they can simulate tests for the robots in different environments. Once deployed, teams can remotely update drivers and firmware, which means they can use a single platform to deploy a scalable fleet of useful robots.

저작권자 © Korea IT Times 무단 전재 및 재배포 금지


Comments are closed.