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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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
