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05/29/2022 09:18 AM

Object Detection with Wheeled Robots

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(223 ratings)
  • access_time 4 hours
  • trending_up Beginner
  • label Wheeled Robot

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About This Course

Skills you'll learn from this course

  • done_all Basics of Cameras & Computer Vision
  • done_all LED lights and their functions
  • done_all ROS Topics, Messages and Launchfiles
  • done_all OpenCV and Python for Image Processing on Raspberry Pi Basics
  • done_all Basics of Image Processing and Color Classification with Python

During this course, which has Course "Wheeled Robot Navigation - Maze Escape" as its prerequisite, students will learn how to add a camera to the front of the robot to provide visual information, as well as some LED lights to show users the state the robot is in. This new version of the wheeled robot will be used to identify target objects of a specific color within its close environment. At first, students learn about the theory of cameras and what cameras are used on the Mars Rover Curiosity, followed by an introduction in Computer Vision and the function of LED lights. Afterwards, they are taught how to attach an HD USB camera and LEDs to the existing 4-wheeled robot, while also customizing the robots according to their taste. Then, more programming skills of Python and ROS are taught and students learn how to use the visual information from the camera to identify target objects based on their color. Finally, the students can combine the functionalities they learned to complete the challenge of detecting target objects around the robot, navigating to them, and knocking them down.

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Object Detection with Wheeled Robots Certificate

Course Features

  • check_circle Programming Environment
  • check_circle Jupyter Notebook
  • check_circle Robot Simulations
  • check_circle Forum & Support

Course Chapters

Course Introduction

  • Mars Rover Vision
  • Course Objectives

Session 1: Theoretical Principles

  • Session Objectives
  • Cameras
  • Camera Design
  • Camera Types
  • Camera to be Used
  • Mini Challenge
  • Computer Vision (CV)
  • How CV Works
  • CV Applications
  • Route to Intelligence
  • Mini Challenge
  • LED
  • LED Colors
  • LED Applications
  • Mini Challenge
  • Session Summary

Session 2: Hardware Assembly

  • Session Objectives
  • Component Intro
  • Mini Challenge
  • Assembly Preview
  • Hardware Assembly
  • Mini Challenge
  • Vehicle Customization
  • Session Summary

Session 3: Programming

  • Session Objectives
  • Robot Management
  • WorkSpace Setup
  • Ubuntu & ROS Review
  • Python Basics Review
  • CV with Python
  • Mini Challenge
  • ROS Topic Files
  • ROS Message Files
  • ROS Launch Files
  • Mini Challenge
  • ROS Exercise
  • HSV Settings
  • Color Detection
  • Session Summary

Session 4: Challenge

  • Session Objectives
  • Challenge Introduction
  • HSV Settings
  • Challenge Time
  • Submit Your Code
  • Upload Your Video
  • Course Completion
Requirements
Course “Build A Motion Controlled Wheeled Robot” is a prerequisite for this course.

Hardware (Optional):
For this course you can use the Wheely Robot Kit If you are using hardware, you will need:
  • Wheeled Robot assembled in Course “Build A Motion Controlled Wheeled Robot”
  • Remaining contents of the Wheely Robot Kit after Course “Build A Motion Controlled Wheeled Robot”, including the HD camera and a 2-color LED light

Get Certified

Object Detection with Wheeled Robots Certificate

Courses Contributor

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Robociti Team

Course Reviews

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Robociti is the go-to platform to learn robotics from scratch. Its teaching methodology equips you with knowledge that is relevant, with lesson progressions that build foundation upon foundation.

Jeffrey - Engineering Student

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Finally a platform for the community of RoboGeeks, where one does not only have the opportunity to acquire the know-how of robotics, but can also meet and connect with others who share the same interest!

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The courses on Robociti are a great way to have a soft start in robotics. I didnt have any experience before and found that the coding and building were taught very instructively.

Adrian - Robotics Student

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Very easy to understand. The slides and quizzes make this course easy and interesting.

Dylan - Student

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I love this course. It is great. I am a beginner and so far I understand it.

Kumar - Hobbyist

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