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

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ID 767160
Date 7/18/2022
Public
Document Table of Contents
Document Table of Contents x
Edge Insights for Autonomous Mobile Robots
Edge Insights for Autonomous Mobile Robots x
How it Works Introduction to edgesoftware Command Line Interface (CLI) Edge Insights for Autonomous Mobile Robots Tutorials Intel® Edge Software Device Qualification (Intel® ESDQ) for EI for AMR Security Real-Time Support Terminology Notices and Disclaimers
Edge Insights for Autonomous Mobile Robots Tutorials x
Robot Tutorials Fleet Tutorials
Robot Tutorials x
Run a ROS 2 Sample Application in the Docker* Container Run an Intel® RealSense™ ROS 2 Sample Application in Docker* Container Run a GStreamer* Video Pipeline using GStreamer* Plugins in Docker* Container Run a GStreamer* Audio Pipeline using GStreamer* Plugins in Docker* Container Run a GStreamer* Video Pipeline using libv4l2 in Docker* Container Run a GStreamer* Video Pipeline using the Intel® RealSense™ Plugin in the Docker* Container Optional (Only for Sony* IMX390 Setups): Run a GStreamer* Video Pipeline using Sony’s IMX390 MIPI Sensor in Docker* Container Run OpenVINO™ Sample Applications in Docker* Container Run ROS 2 OpenVINO™ Toolkit Sample Applications in Docker* Container Run Intel® oneAPI Base Toolkit Sample Applications in Docker* Container Run Profiling Application in Docker* Container with VTune™ Profiler Run OpenVINO™ Benchmarking Tool Run the ADBSCAN Algorithm Launch Wandering Application with Gazebo* Simulation Launch Wandering Application on AAEON* Robot Kit Launch Cartographer with 2D LIDAR Run FastMapping Algorithm Run ROS 2 Navigation Sample Applications Using the ITS Path Planner Plugin in a Docker* Container ITS Path Planner Plugin Customization Run the Edge Insights for Autonomous Mobile Robots Container in KVM Guest Run a Collaborative SLAM System Build New and Custom Docker* Images from the Edge Insights for Autonomous Mobile Robots SDK Troubleshooting for Robot Tutorials
Fleet Tutorials x
Basic Fleet Management Device Onboarding End-to-End Use Case OTA Updates Wandering Application Deployment Troubleshooting for Robot Orchestration Tutorials
Basic Fleet Management x
Basic Fleet Management Use Case Remote Inference End-to-End Use Case
Edge Insights for Autonomous Mobile Robots

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.

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