Master In Robotics With Raspberry Pi
Exciting adventure through electronics, code, and Robotics
Description
Welcome to learn Robotics with Raspberry Pi. In this course, you will go on an exciting adventure through electronics, code, and Robotics. We will explain to you how to use the Raspberry Pi Minicomputer to build your own customizable robot from the ground up.
Along the way, we’ll explain robot's awesome abilities, from remote control to following lines to recognizing objects and more!
By the end of this course you’ll be equipped with the programming and engineering skills to embark upon years of robotics and computer science fun, and should have the basic understanding you need to make your craziest robot ideas come to life. This course also introduces many other areas of computing along the way, including coding in one of the most popular programming languages around: Python. This is the perfect first step for anybody with an interest in computers and technology!
WHY BUILD AND LEARN ABOUT ROBOTS?
Robots are all around us. They build the products you use every day. They save lives in surgery. They even explore Mars and the rest of our solar system. As tech improves, Humans rely on robots more and more to make our lives easier, better, and safer. With the rise of artificial intelligence, it won’t be long until things like driverless cars and Smart robotic companions are the norm! There has never been a better time to learn about robotics, whether that’s just to satisfy your own curiosity or to embark on a future lucrative career. And besides, if you understand even just a little bit about robots, you’ll have a much better chance at surviving the robot uprising. (Just kidding.)
You Will Learn Advanced Robotics Skills:
Robot Design and Prototyping: Develop skills in designing, prototyping, and building custom robots, considering factors like mechanical design, electronics integration, and power management.
Robot Navigation and Localization: Implement algorithms for robot localization and mapping (SLAM) and develop navigation strategies for autonomous robots.
Human-Robot Interaction: Understand and design interfaces for effective human-robot interaction, including voice recognition, gesture control, and natural language processing.
Robot Ethics and AI Safety: Explore the ethical considerations and safety measures relevant to robotics and artificial intelligence.
Take a look at what’s in store for you in each chapter:
Chapter 1: Getting Up and Running takes you on a tour of the Raspberry Pi and itsfeatures. We will also show you how to install the operating system and set it up for use over your local network using SSH. In this chapter you’ll meet the terminal and write your first Python program.
Chapter 2: Electronics Basics introduces electricity, what it is, and how we can harness it. You’ll find two beginner projects in this chapter that are great for starting off your adventures before you start making robots. By the end, you’ll be able to make circuits that blink an LED and respond to a button.
Chapter 3: Building Your Robot begins your robotic journey. Here you’ll start to build your robot! We’ll build the base, with motors and wheels, and you’ll find lots of guidance about the different parts of your robot and how to wire it up.
Chapter 4: Making Your Robot Move gives your fully constructed robot the power of movement, with complete remote control using a Nintendo Wiimote. You’ll use Python code to make your robot move, first in a simple pattern and then by just tilting and orienting a Nintendo Wiimote, Mario Kart–style.
Chapter 5: Avoiding Obstacles gives you your first taste of robotic autonomy. In this project you’ll use an ultrasonic distance sensor to give your robot the ability to sense and avoid obstacles in its way. You’ll never crash again!
Chapter 6: Customizing with Lights and Sound allows you to customize your robot with superbright lights and speakers. You’ll be able to program your owndazzling light shows, and connect a 3.5 mm speaker to your Raspberry Pi so that your robot can emit noises, like a car horn.
Chapter 7: Line Following shows you how to use sensors and code to make your robot follow a black line. It will be racing around a track all by itself in no time at all!
Chapter 8: Computer Vision: Follow a Colored Ball is the most advanced project of this course and introduces image processing, one of the most hightech areas of computer science. In this chapter your robot will use the official Raspberry Pi Camera Module and computer vision algorithms to recognize and follow a colored ball, no matter where it is in your robot’s environment.
Chapter 1
● Raspberry Pi 3 Model B+
● 8GB+ microSD card
● HDMI cable, USB keyboard/mouse
● 5 V micro USB power adapter
Chapter 2
● 400point breadboard
● An LED with appropriate resistor
● MF/FF/MM jumper wires
● Momentary push button
Chapter 3
● A chassis for your robot (I make mine out of LEGO)
● Two brushed 5 V to 9 V motors with tires
● Six AA battery holder
● Six AA batteries (I recommend rechargeable)
● LM2596 buck converter module
● L293D motor driver chip
Chapter 4
● Nintendo Wii remote
● For earlier models: Bluetooth dongle for Pis prior to Model 3/Zero W
Chapter 5
● HCSR04 ultrasonic distance sensor
● A 1 kΩ resistor and a 2 kΩ resistor
Chapter 6
● NeoPixel stick with headers
● A small 3.5 mm speaker
Chapter 7
● Two TCRT5000based infrared linefollowing sensor modules
Chapter 8
● An Official Raspberry Pi Camera Module
● A colored ball
What You Will Learn!
- Advanced Robotics Concepts: Develop a deep understanding of advanced robotics principles, including kinematics, dynamics, control theory, and machine learning t
- Raspberry Pi Expertise: Become proficient in using the Raspberry Pi single-board computer as a primary platform for robotics development, including hardware int
- Raspberry Pi Minicomputer use & Working
- Driverless cars and Smart robotic Companions
- Sensors and Actuators Integration: Learn to integrate a variety of sensors (e.g., cameras, ultrasonic sensors, IMUs) and actuators (e.g., motors, servos) to bui
- Machine Learning for Robotics: Explore the application of machine learning algorithms, such as neural networks and reinforcement learning, in training and optim
Who Should Attend!
- Who want to learn advance Electronics technologies