Edge Insights for Autonomous Mobile Robots (EI for AMR) Developer Guide

ID 767160
Date 7/18/2022

A newer version of this document is available. Customers should click here to go to the newest version.

Document Table of Contents

Edge Insights for Autonomous Mobile Robots

Edge Insights for Autonomous Mobile Robots (EI for AMR) offers containerized software packages and pre-validated hardware modules for sensor data ingestion, classification, environment modelling, action planning, action control. Based on the Robot Operating System 2 (ROS* 2), it also includes the OpenVINO™ toolkit, Intel® oneAPI Base Toolkit (Base Kit), Intel® RealSense™ SDK, and other software dependencies in a container, along with the source code, as well as reference algorithms and deep learning models as working examples.

In addition to autonomous mobility, this package showcases map building and Simultaneous Localization And Mapping (SLAM) loop closure functionality. The package uses an open source version of visual SLAM with camera input from an Intel® RealSense™ camera. Optionally, the package allows you to run Light Detection and Ranging (LIDAR) based SLAM and compare those results with visual SLAM results on accuracy and performance indicators. In addition, this package detects the objects and highlights them in the map. Depending on the platform that is used, AI workloads are run on an integrated GPU or on Intel® Movidius™ Myriad™ X accelerator.

Edge Insights for Autonomous Mobile Robots helps to address various industrial and manufacturing uses, consumer market and smart cities use cases, which include data collection, storage, and analytics on a variety of hardware nodes across the factory floor. See How it Works.

Use the Get Started Guide for Robots and Get Started Guide for Robot Orchestration for installation instructions.

For an introduction to the edgesoftware command line interface for managing Intel’s Developer Catalog packages, see Introduction to edgesoftware Command Line Interface (CLI).

See Edge Insights for Autonomous Mobile Robots Tutorials for step-by-step, hands-on walkthroughs, including how to run a demo ROS 2 sample application inside the EI for AMR Docker* container and set up basic fleet management.

Did you find the information on this page useful?

Characters remaining:

Feedback Message