• 2021.2
  • 06/30/2021
  • Public Content

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 ROS2 framework, it also includes the
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 the detected object 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 installation instructions and an introduction to the Edge Software command line interface to learn how to manage Intel Edge Software Hub packages.
When set up is complete, choose the Tutorials section for step-by-step, hands-on walkthroughs, including how to run a demo ROS2 sample application inside the
EI for AMR
Docker* container.

Product and Performance Information


Performance varies by use, configuration and other factors. Learn more at