Nvidia, Open Robotics To Streamline Data Flow

Image credit: iStockphoto/Black_Kira

Chip and AI specialist NVIDIA and open-source developer Open Robotics have agreed to boost ROS 2 operating system performance on the NVIDIA Jetson edge AI platform and GPU-based systems.

The partnership looks to reduce development time and improve performance for developers seeking to incorporate computer vision and AI/machine learning functionality into their ROS-based applications.

Open Robotics will enable ROS 2 to deliver more efficient data flow management and shared memory across GPU, and other processors present on the NVIDIA Jetson edge AI platform.

This is expected to significantly improve the performance of applications that have to process high-bandwidth data from sensors such as cameras and Lidars in real-time.

In addition, both companies are working to enable smooth simulation interoperability between Open Robotics’s Ignition Gazebo and NVIDIA Isaac Sim on Omniverse.

Isaac Sim already supports ROS 1 and 2 out of the box and features an ecosystem of 3D content connected to applications, such as Blender and Unreal Engine 4.

“As more ROS developers leverage hardware platforms that contain additional compute capabilities designed to offload the host CPU, ROS is evolving to make it easier to efficiently take advantage of these advanced hardware resources,” said Brian Gerkey, the chief executive officer of Open Robotics.

“Working with an accelerated computing leader like NVIDIA and its vast experience in AI and robotics innovation will bring significant benefits to the entire ROS community.”

Software resulting from this collaboration is expected to be released in the spring of 2022.  

NVIDIA is gearing up for ROS World on October 21 and 22, 2021. The company is planning to release new GEMs for Jetson developers, including several DNNs.

Image credit: iStockphoto/Black_Kira