Edge Insights for Autonomous Mobile Robots (EI for AMR)#
Edge Insights for Autonomous Mobile Robots (EI for AMR) offers containerized software packages and pre-validated hardware modules for sensor data ingestion, classification, environment modeling, action planning, action control. Based on the Robot Operating System 2 (ROS* 2), it also includes the OpenVINO™ toolkit, Intel® oneAPI Base Toolkit (oneAPI™), 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® CPU.
EI for AMR helps address industrial, manufacturing, consumer market, and smart cities use cases, that include data collection, storage, and analytics on a variety of hardware nodes across the factory floor.
Collateral |
Description |
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EI for AMR features |
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Intel’s Developer Catalog package management |
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Step-by-step, hands-on walkthroughs, including how to run a demo ROS 2 sample application inside the EI for AMR Docker* container |
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Step-by-step, hands-on walkthroughs, including how to set up basic fleet management |
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Help with robot tutorials |
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Help with robot orchestration tutorials |
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Robot Kit installation |
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Server Complete Kit installation |
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New features and known issues |