Skip to main content
Ctrl+K

Edge Insights for Autonomous Mobile Robots - Development Guide

  • How it Works
    • Tools
    • EI for AMR Applications
    • EI for AMR Algorithms
    • EI for AMR Middleware
    • Edge Server Applications
    • Edge Server Algorithms
    • Edge Server Middleware
  • Recommended Hardware
  • edgesoftware Command Line Interface (CLI)
  • EI for AMR Robot Tutorials
    • Create Your Own Robot Kit
      • Step 1: Hardware Assembly
      • Step 2: Integration into Edge Insights for Autonomous Mobile Robots
      • Step 3: Robot Base Node ROS 2 Node
      • Step 4: Robot Base Node ROS 2 Navigation Parameter File
      • Step 5: Navigation Full Stack
    • Wandering App Based on a Collab SLAM Using AAEON Robot Kits
    • AAEON UP Xtreme i11 Robot Kit SLAM-Toolbox Tutorial
    • Perception
      • Intel® RealSense™ ROS 2 Sample Application
      • ROS 2 OpenVINO™ Toolkit Sample Application
      • OpenVINO™ Sample Application
      • 2D LIDAR and ROS 2 Cartographer
      • GStreamer* Pipelines
        • GStreamer* Audio Pipeline
        • GStreamer* Video Pipeline
        • GStreamer* Video Pipeline with libv4l2
        • GStreamer* Video Pipeline with an Intel® RealSense™ Camera
      • Point Cloud Library (PCL) Optimized for the Intel® oneAPI Base Toolkit
        • Spatial Partitioning and Search Operations with Octrees
        • Constructing a Convex Hull Polygon for a 3D Point Cloud
        • Detecting Specific Models and Their Parameters in 3D Point Clouds
        • Plane Model Segmentation
        • Surface Reconstruction with Intel® oneAPI Base Toolkit's Moving Least Squares (MLS)
        • Intel® oneAPI Base Toolkit's Iterative Closest Point (ICP)
        • KdTree Search Using Intel® oneAPI Base Toolkit's KdTree FLANN
        • Downsampling 3D Point Clouds with a Voxelized Grid
        • Filtering Point Clouds with a Passthrough Filter
        • PCL Optimizations Outside of Docker* Images
        • Optimized PCL Known Limitation
        • Optimized PCL Troubleshooting
      • GPU ORB Extractor
        • GPU ORB Extractor Package
        • GPU ORB Extractor API
        • GPU ORB Extractor Limitation
    • Navigation
      • Collaborative Visual SLAM
      • Kudan Visual SLAM
      • FastMapping Algorithm
      • ADBSCAN Algorithm
      • Follow-me Algorithm
      • ITS Path Planner ROS 2 Navigation Plugin
      • ITS Path Planner Plugin Customization
      • Robot Teleop Using a Gamepad
      • Robot Teleop Using a Keyboard
      • Wandering Application with Multi-camera Rtabmap and AAEON Robot Kit
    • Simulation
      • Turtlesim
      • Wandering Application in a ARIAC Gazebo* Simulation
      • Wandering Application in a Waffle Gazebo* Simulation
      • Wandering Application with Multi-camera Rtabmap in Gazebo* Simulation
    • Benchmarking and Profiling
      • VTune™ Profiler in a Docker* Container
      • OpenVINO™ Benchmarking Tool
    • Change Existing and Add New Docker* Images to the EI for AMR SDK
    • Troubleshooting for Robot Tutorials
    • Wandering App Based on Kudan SLAM Using AAEON Robot Kits
    • Use i915 Kernel Patch on 12th Generation Intel® Core™ Processors for Optimal GPU Performance
  • EI for AMR Robot Orchestration Tutorials
    • Device Onboarding End-to-End Use Case
    • Basic Fleet Management
      • Basic Fleet Management Use Case
      • Remote Inference End-to-End Use Case
    • OTA Updates
    • Troubleshooting for Robot Orchestration Tutorials
  • Intel® Edge Software Device Qualification (Intel® ESDQ) for EI for AMR
  • Security
  • Real-Time Support
    • Enable Intel® TCC Baseline Support
  • Terminology
  • Notices and Disclaimers
  • .rst

Navigation

Navigation#

The following tutorials tell you how to use ROS 2 components developed by Intel® to help an EI for AMR navigate and map a room and provide teleop options.

previous

GPU ORB Extractor Limitation

next

Collaborative Visual SLAM

By Intel Corporation

© Copyright 2023, Intel.