NVIDIA announces new features and capabilities that support the acceleration and growth of AI-based solutions for robotics and simulation.

Soft Robotics applies NVIDIA Isaac Sim’s synthetic data to food processing automation in efforts to improve safety and increase production.

New features include cloud accessibility, support for ROS 2 Humble and Windows, improved motion generation extension for robot arms and the ability to add human characters to simulation environments.

TÜV SÜD has determined that NVIDIA’s DRIVE OS 5.2 software meets the ISO 26262 ASIL B standard, which targets functional safety in road vehicles’ systems.

NVIDIA used its Isaac Gym RL robotics simulator to train an Allegro Hand, a lightweight, anthropomorphic robotic hand.

NVIDIA released the latest update to its Isaac Robot Operating System (ROS) software, Developer Preview (DP) 2.

NVIDIA released Jetson Orin Nano system-on-modules, updated its Nova Orin reference platform for autonomous mobile robots and announced cloud-based availability for its Isaac Sim technology.

The Germany-based research group’s O3dyn platform uses NVIDIA simulation technologies to create robots with a rich feature set for logistics, manufacturing and more.

Nvidia recently filed a patent that would help self driving cars better identify and react to emergency vehicles.

Ready Robotics’ Forge/OS 5 universal operating system now works with NVIDIA’s Omniverse Isaac Simulator. NVIDIA also made an undisclosed investment into Ready Robotics.

NVIDIA’s director of product management Amit Goel will be giving a session at the Robotics Summit on May 11 from 3:00 PM to 3:45 PM.

State-of-the-art computing and sensor architecture powered by the new Jetson platform enables next-gen 3D-sensing for AMRs.

NVIDIA has over one million developers now deploying on Jetson with John Deere, Medtronic, Hyundai Robotics, Komatsu, Meituan among early adopters

The company was one of the first commercial mobile robots to use the Nvidia Jetson product, and Serve works closely with the Nvidia product team to improve the capabilities of the solution.

Cogniteam said more of its customers are moving to NVIDIA’s GPU-accelerated technologies that can be developed and deployed through the cloud.

NVIDIA’s AMR system is targeted at large deployments in big facilities, where mapping can be time consuming.

NVIDIA and Open Robotics are enabling ROS 2 to run on Jetson processors for perception, modeling, and training to ease robotics development.

NVIDIA releases the Isaac Sim version of its NVIDIA Omniverse simulation software, including new features to help train machine learning models.

Nvidia has agreed to acquire precision mapping technology provider DeepMaps for an undisclosed amount. The deal adds to Nvidia’s growing set of autonomous vehicle technologies.

NVIDIA said its Isaac Gym simulation software is designed to provide end-to-end reinforcement learning for robotics developers.

Einride said NVIDIA’s Orin processors will help make the next generation of its autonomous Pods for freight transport safer and more functional.

When using Jetson devices, Formant users can now enable real-time video and image analytics in the cloud and perform PII scrubbing at the edge, writes CEO Jeff Linnell in this column.