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Simultaneous Localization and Mapping you own this product

This project is part of the liveProject series Build Mobile Robots with ROS2
prerequisites
intermediate Git • YAML • Basic ROS2 • Linux basics (installing and building software, working with command-line tools, shell basics, working with multiple terminals) • Math (translations, rotations, coordinate systems, linear algebra) • robotics sensors (IMU, LiDAR, Encoders) • intermediate Python
skills learned
map with slam_toolbox • localization with slam_toolbox • SLAM in the bag
Mateusz Sadowski
1 week · 6-8 hours per week · INTERMEDIATE
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liveProject This project is part of the liveProject series Build Mobile Robots with ROS2 liveProjects give you the opportunity to learn new skills by completing real-world challenges in your local development environment. Solve practical problems, write working code, and analyze real data—with liveProject, you learn by doing. These self-paced projects also come with full liveBook access to select books for 90 days plus permanent access to other select Manning products. $19.99 $29.99 you save $10 (33%)
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Keep tabs on your robot. RoboPrototype, the company you work for, is preparing to demo its autonomous beverage delivery robot for investors in a food court next month. Your CEO has tasked you with setting up SLAM (Simultaneous Localization and Mapping) on the robot, making it possible to locate the robot at all times. Using the Slam Toolbox, you’ll equip the robot with the ability to create a map of its environment as well as pinpoint its location on the map. You’ll also get firsthand experience mapping on real data captured on a Turtlebot3 Burger, a widely used mobile robot platform.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Mat Sadowski

Mat Sadowski is a robotics consultant with eight years of experience in the industry. He has experience working with over thirty worldwide clients on such platforms as mobile robots, unmanned boats, industrial robots, and even lawnmowers. In his spare time, Mat is developing the robotics newsletter Weekly Robotics. You can get up to date on his work by following him on LinkedIn or by following his blog.

prerequisites

This liveProject is for programmers interested in learning to apply SLAM on a robotic system. To follow this liveProject you’ll need a computer running Ubuntu 20.04 capable of running Gazebo and be familiar with the following:

TOOLS
  • Git
  • YAML
  • ROS2
TECHNIQUES
  • Linux basics (installation, working with command line tools, shell basics, and multiple terminals)
  • Math (translations, rotations, coordinate systems, linear algebra)
  • Probability theory
  • Robotics sensors (IMU, LiDAR, Encoders)

you will learn

In this liveProject, you’ll take an in-depth look at SLAM as you learn to create a map of a robot’s environment and pinpoint the robot’s location in it. You’ll also use real data recorded on Turtlebot to create a map.

  • Map with slam_toolbox
  • Localization with slam_toolbox
  • SLAM in the bag

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
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