Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

ResGreen Uses Open-Source Robot Operating System (ROS) to Enhance Integration and Simulation for LilBuddy AMR

ResGreen Group International, a next-gen mobile robot and software solutions company, announced  its LilBuddy autonomous mobile robot (AMR) is using Robot Operating System (ROS), an open-source software development kit, to enable seamless integration with hardware components and software systems. The team is also testing LilBuddy’s lidar mapping system, sensors and navigation capabilities in a ROS-powered simulator.

Recommended AI News: Findora Launches “Prism” to Bridge Native and Smart Chain Assets for Increased DeFi Functionality

For over ten years, ROS has helped developers across industries develop and build robots, from research and prototyping to deployment and production. It’s currently featured in thousands of mobile robots that are working inside warehouses and plants from a variety of AMR manufacturers. ROS also supports numerous hardware interfaces, making it easy for engineers to integrate LilBuddy’s components, including cameras, lidars and motor controllers.

“In addition to speeding up the development of LilBuddy, ROS has been a huge help in addressing supply chain issues,” said Parsh Patel, CEO at ResGreen. “If a particular component is on backorder or too expensive, our engineers can easily swap it out with a component from a different manufacturer, giving them multiple vendor options. ROS allows us to keep costs down and ensure quick delivery for our customers.”

Related Posts
1 of 30,484

Recommended AI News: Deci’s New Family of Models Delivers Breakthrough Deep Learning Performance on CPU

ResGreen engineers recently virtually tested LilBuddy with ROS by creating a simulation of the AMR mapping its environment using natural feature SLAM guidance. They created a ROS model of LilBuddy, often called a digital twin, and inserted it in an environment that included ramps, other robots, walls, trash cans and shelving. The LilBuddy digital twin and its control software reacted and generated data in the same way it would in real life. This simulation feature can help plan vehicle routes, make design changes, assist with quality assurance and train customers.

Recommended AI News: gStore Puts the Future of Stores in an App

[To share your insights with us, please write to sghosh@martechseries.com]

Comments are closed.