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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 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
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.