SHELBY TOWNSHIP, MI, Sept. 22, 2022 (GLOBE NEWSWIRE) -- ResGreen Group International, Inc. (OTC Pink: RGGI), a next-gen mobile robot and software solutions company, announced today its LilBuddy ...

First released in 2007 by two Stanford PhD students who observed their colleague’s lack of entry into the robotics field, the Robot Operating System (ROS) was developed to be a distributed and modular ...

SINGAPORE--(BUSINESS WIRE)--The Robot Operating System (ROS) is a flexible and collaborative open-source framework for building operating systems for robotics. As its adoption continues to grow, ROS ...

On a recent trip to the Bay Area, I took a few hours to pay a visit to Berkeley Artificial Intelligence Research Lab (BAIR). Professor Ken Goldberg walked me around the lab and introduced me to a ...

The "Global Robot Operating System (ROS) Market Analysis & Trends - Industry Forecast to 2027" report has been added to ResearchAndMarkets.com's offering. The Global Robot Operating System (ROS) ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

DUBLIN--(BUSINESS WIRE)--The "Global Robot Operating System (ROS) Market Analysis & Trends - Industry Forecast to 2027" report has been added to ResearchAndMarkets.com's offering. The Global Robot ...

For more than two decades, people in the robotics industry had been trying to come up with a set of common tools that others could use on any robot they were designing or building. Tools that could ...

The new Jetson Orin Nano system-on-module is at the heart of NVIDIA’s Nova Orin. Version 2 of the Robot Operating System, which simplifies hardware acceleration, builds on the popularity and ...

If you are like us, you probably just spin up your own code for a lot of simple projects. But that’s wasteful if you are trying to do anything serious. Take a robot, for example. Are you using ROS ...

Reinforcement learning is a subset of machine learning where the machine is scored on their performance (“evaluation function”). Over the course of a training session, behavior that improved final ...