Build Autonomous Navigation Robot- ROS Simulation Hardware
- IT & Software
- Mar 03, 2025

Build Autonomous Navigation Robot: ROS Simulation & Hardware, available at $44.99, has an average rating of 2.7, with 37 lectures, based on 90 reviews, and has 631 subscribers.
You will learn about 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 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 ideal for individuals who are Anyone interested in Robotics who wish to learn about autonomous navigation in robots or To build a low-cost ROS Powered robot platform It is particularly useful for Anyone interested in Robotics who wish to learn about autonomous navigation in robots or To build a low-cost ROS Powered robot platform.
Enroll now: Build Autonomous Navigation Robot: ROS Simulation & Hardware
Summary
Title: Build Autonomous Navigation Robot: ROS Simulation & Hardware
Price: $44.99
Average Rating: 2.7
Number of Lectures: 37
Number of Published Lectures: 37
Number of Curriculum Items: 37
Number of Published Curriculum Objects: 37
Original Price: ?7,900
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
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 !
Course Curriculum
Chapter 1: Introduction
Lecture 1: About This Course
Lecture 2: Introduction
Lecture 3: Theory
Lecture 4: ROS Navigation Stack
Lecture 5: Resources
Chapter 2: Building Robot Step by Step
Lecture 1: Outline
Lecture 2: Simulated Robot – Introduction
Lecture 3: Preliminary Setup
Lecture 4: Building Robot Model
Lecture 5: Design Robot Parts Using a 3D Modelling Software
Lecture 6: Add the Designed Parts to URDF File
Lecture 7: Visualize the robot in RVIZ
Lecture 8: Load The Robot Into a Virtual World in Gazebo
Lecture 9: Tele Operate The Virtual Robot Using Keyboard
Lecture 10: Tele Operate The Virtual Robot Using Joystick
Lecture 11: Tele Operate The Virtual Robot Using Android Device
Lecture 12: Create Map of The World Using Slam
Lecture 13: Perform Autonomous Navigation Using Gazebo
Lecture 14: Building Real Robot
Lecture 15: Preliminary Software Setup
Lecture 16: 3D Print The Robot Parts
Lecture 17: Electronic Components Used
Lecture 18: Wiring
Lecture 19: Assembling
Lecture 20: Motor Gear Ratio Calculation
Lecture 21: Write Motor Controller And Ros Interface
Lecture 22: Differential Driver And Odometry
Lecture 23: Tele Operation
Lecture 24: Odometry Correction – Rotation
Lecture 25: Odometry Correction – Translation
Lecture 26: Map Building
Lecture 27: Autonomous Navigation
Lecture 28: Navigation Tuning
Lecture 29: Robot Upstart
Lecture 30: Autonomous Delivery Application
Chapter 3: Conclusion
Lecture 1: Possible Improvements
Lecture 2: Conclusion
Instructors

Rajesh Subramanian
Robotics Engineer
Rating Distribution
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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