Udemyintermediateen

Master In Robotics With Raspberry Pi

Learn electronics, coding & robotics! Build exciting projects and explore the world of STEM. Perfect for beginners and aspiring engineers.

3.6(2)
23students
4h 3m
Certificate
EasyShiksha Learning
EasyShiksha Learninge-learning

Course Content

Master In Robotics With Raspberry Pi is an intermediate-level Udemy course taught by EasyShiksha Learning. It runs 4h 3m, is taught in English, and includes a certificate of completion. Learners rate it 3.6 out of 5 from 2 reviews, with 23 students enrolled. It is a paid course, first published May 2022.

Learn Robotics with Raspberry Pi: Build Your Own Robot!

Embark on an exciting journey into the world of robotics and computer science with our comprehensive course! This hands-on learning experience guides you through building a customizable robot from the ground up using the versatile Raspberry Pi minicomputer. Discover the amazing capabilities of robots, from remote control and line following to object recognition and beyond.

By the end of this course, you'll gain the essential programming skills and engineering knowledge to pursue a rewarding career in robotics or bring your own innovative robot ideas to life. We'll introduce you to Python, a popular and powerful programming language, laying a strong foundation for future explorations in computer science.

Why Learn Robotics?

Robots are rapidly transforming our world, impacting industries from manufacturing and healthcare to exploration and everyday life. With the rise of artificial intelligence (AI), smart robotic companions and driverless cars are becoming increasingly commonplace. Learning robotics is not only intellectually stimulating but also opens doors to a lucrative and exciting future. Understanding even the basics of robotics can provide a significant advantage in a technologically evolving landscape.

What You Will Learn: Advanced Robotics Skills

  • Robot Design and Prototyping: Master the skills to design, prototype, and build unique robots, considering mechanical design, electronics integration, and power management.
  • Robot Navigation and Localization: Implement SLAM (Simultaneous Localization and Mapping) algorithms and develop navigation strategies for autonomous robots.
  • Human-Robot Interaction: Design effective interfaces for human-robot interaction, including voice recognition, gesture control, and natural language processing.
  • Robot Ethics and AI Safety: Explore the crucial ethical considerations and safety measures surrounding robotics and artificial intelligence.

Course Chapters: A Detailed Look

  • Chapter 1: Getting Started with Raspberry Pi: A comprehensive introduction to the Raspberry Pi and its features. Learn how to install the operating system and configure it for network access using SSH. Get familiar with the terminal and write your first Python program.
  • Chapter 2: Electronics Fundamentals: Explore the basics of electricity and learn how to harness its power. Begin with two beginner-friendly projects: creating circuits that blink an LED and respond to a button.
  • Chapter 3: Building Your Robot Base: Begin the construction of your robot! Learn to build the base, incorporating motors and wheels. Detailed guidance on wiring and component integration is provided.
  • Chapter 4: Robot Movement with Wiimote Control: Give your robot the power of movement! Utilize a Nintendo Wiimote to achieve complete remote control. Employ Python code to control robot movement in simple patterns and with intuitive tilting gestures.
  • Chapter 5: Obstacle Avoidance: Introduce robot autonomy with an ultrasonic distance sensor. Enable your robot to sense and avoid obstacles, preventing collisions.
  • Chapter 6: Customization with Lights and Sound: Enhance your robot's appearance with bright lights and speakers. Program dazzling light shows and connect a 3.5 mm speaker to play sounds like a car horn.
  • Chapter 7: Line Following: Develop sensor and coding skills to create a robot that autonomously follows a black line.
  • Chapter 8: Computer Vision: Follow a Colored Ball: The advanced project! Explore image processing using the Raspberry Pi Camera Module and computer vision algorithms to recognize and follow a colored ball.

Required Hardware:

  • Raspberry Pi 3 Model B+
  • 8GB+ microSD card
  • HDMI cable, USB keyboard/mouse
  • 5 V micro USB power adapter
  • Breadboard
  • LED with resistor
  • Jumper wires
  • Momentary push button
  • Robot chassis (e.g., LEGO)
  • Motors with tires
  • Battery holder and batteries
  • LM2596 buck converter module
  • L293D motor driver chip
  • Nintendo Wii remote (or Bluetooth dongle for older models)
  • Ultrasonic distance sensor
  • Resistors (1 kΩ and 2 kΩ)
  • NeoPixel stick
  • **Small 3.5
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