Build Autonomous Navigation Robot: ROS Simulation & Hardware

Build Autonomous Navigation Robot: ROS Simulation & Hardware

There are many courses on ROS which provides good insights on theoretical aspects and building Robots in simulation. But, in this course, we will be discussing how to build a low cost ROS-powered autonomous robot at home from scratch. Step-by-step instructions will be given in detail on how to build the Autonomous Robot.

This course covers lessons on how to physically build a customized Robot including elements like Mechanical design, Electronic circuit assembly, software configuration, ROS navigation stack integration, Arduino integration, Software simulation, real-world navigation and a sample delivery application

By the end of this course, you will be able to achieve the following:

• Design and build your customized physical robot with autonomous navigation capability

• Create a map of your house using the lidar scanner of the robot

• Command robot to go to any accessible location on the created map

• Interact with the robot using a mobile app, joystick, keyboard, push-button, or remote computer

• Monitor robot updates via LCD, mobile app, sound, and status LEDs

• Automate delivery of small payload and return to home base

This course is for anyone interested in Robotics who wish to learn about autonomous navigation in robots and build a low-cost ROS Powered robot platform.

Everything you need to know about building this robot would be explained in this course. A basic understanding of python programming language, ROS basics, Arduino basics, and little bit of 3D printing knowledge would be handy.

Now let's start to build our Robot !

Learn how to make a low cost autonomous delivery robot at home from scratch on your own using Robot Operating System!

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What you will learn

• Design and build your customized physical robot
• Autonomous navigation using Robot Operating System
• Create a map of your house using the lidar scanner of the robot

Rating: 3.55

Level: All Levels

Duration: 1 hour

Instructor: Rajesh Subramanian