Nvidia

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

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.

In 2020, autonomous vehicles left other technology applications in the dust. Other areas of robotics receiving funding or merger and acquisition activity included supply chain automation, surgical robots, and quadrupeds.

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.

NVIDIA said its Jetson Nano 2GB kit is designed to enable students and developers to affordably get started with AI, robotics, and IoT.

AI provider NVIDIA said it plans to acquire chipmaker Arm from SoftBank for about $40 billion and expand research and development facilities in the U.K. for a new supercomputer.

Giving and taking objects to and from humans are fundamental capabilities for collaborative robots in a variety of applications. NVIDIA researchers are hoping to improve these human-to-robot handovers by thinking about them as a hand grasp classification problem. In a paper called “Human Grasp Classification for Reactive Human-to-Robot Handovers“, researchers at NVIDIA’s Seattle AI Robotics…

Machine learning on edge devices could transform the manufacturing, healthcare, and energy industries. An AI executive explains why and the hardware involved.

NVIDIA has partnered with Hackster to host the AI-at-the-Edge Challenge. The contest invites makers, robotics developers, and embedded technology enthusiasts to use the NVIDIA Jetson Nano Developer Kit to create an AI solution for a chance to win from $100K in prizes. Deadline to submit an entry using the NVIDIA Jetson Nano Developer Kit is…

The global robotics market will continue to be affected by China’s manufacturing slowdown and trade tensions with the U.S., says international analyst Georg Stieler as he looks ahead to 2020.

HeroX, a spinoff of XPRIZE, is crowdsourcing talent. One of its projects is the AlphaPilot AI drone competition, run with the Drone Racing League and Lockheed Martin.

NVIDIA introduced the Jetson Xavier NX module that helps train and deploy AI on edge devices like robots and drones, for example. It has a form factor smaller than a credit card, delivers up to 21 TOPS (Tera Operations per Second) for running AI workloads, and consumes as little as 10 watts of power. The Jetson…

Here is just a sampling of keynotes, sessions, and panels at next month’s Robotics Summit & Expo in Boston that robotics developers and innovators won’t want to miss.