Robotics Tutorials
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Robotics and Embedded Systems Tutorials
Explore our comprehensive collection of tutorials covering the fascinating worlds of robotics and embedded systems. Whether you’re a beginner eager to learn the fundamentals or an experienced engineer looking to expand your knowledge, you’ll find valuable resources to enhance your skills. Dive into topics ranging from microcontroller programming to advanced robotics algorithms, and unlock the potential to create innovative and intelligent systems.
Embedded Systems
- What Are Embedded Systems? The Invisible Computers of Our World
- Introduction to Microcontrollers (MCUs) vs. Microprocessors (MPUs)
- Core Components of an Embedded System: CPU, Memory, Peripherals
- Selecting Your Hardware: A Guide to Popular MCUs (e.g., STM32, ESP32, Arduino, Raspberry Pi Pico)
- Setting Up Your Toolchain: Compilers, Linkers, and the IDE
- The Anatomy of a “Hello, World” Program on an MCU
- Low-Level C/C++ for Embedded Systems: Optimizations and Constraints
- GPIO (General Purpose Input/Output): The First Step to Hardware Control
- Working with Sensors: I2C and SPI Communication Protocols
- Interfacing with Actuators: Controlling Motors and Servos
- Interrupts and Timers: Handling Time-Critical Events
- Introduction to Real-Time Operating Systems (RTOS): FreeRTOS and Zephyr
- Task Scheduling, Synchronization, and Communication in an RTOS
- Debugging an Embedded System: JTAG, SWD, and gdb
- Deployment and OTA (Over-the-Air) Updates for Embedded Systems
- Embedded Security: Protecting Your Device from Tampering and Exploits
- Embedded AI: Running Machine Learning Models on MCUs with TensorFlow Lite for Microcontrollers
Robotics
- Introduction to Robotics: Components, Degrees of Freedom, and Kinematics
- Robotics Hardware Design: Mechanical and Electrical Principles
- Forward and Inverse Kinematics: The Mathematics of Robot Movement
- Sensing the World: Lidar, Cameras, Encoders, and IMUs
- Introduction to Control Theory: PID Controllers for Stable Movement
- Path Planning and Navigation: Algorithms for Mobile Robots
- Robot Perception: Using Computer Vision for Object Detection
- Computer Vision for Robotics: OpenCV and Deep Learning for Perception
- SLAM (Simultaneous Localization and Mapping): Building a Map While You Navigate
- Robot Learning: Reinforcement Learning for Control and Manipulation
ROS 2 (Robot Operating System)
- Introduction to the Robot Operating System (ROS 2)
- ROS 2 Concepts: Nodes, Topics, Messages, and Services
- Building Your First ROS 2 Workspace and Packages
- Using ROS 2 with Python and C++
- Creating a Simple Teleoperation System with ROS 2
- ROS 2 Navigation Stack: Building an Autonomous Mobile Robot
- Gazebo Simulation: Testing Your Robot in a Virtual Environment
Projects
- Project: Building a Web-Controlled IoT Device with an ESP32
- Project: Creating an Autonomous Line-Following Robot
- Project: Building a Self-Balancing Robot
Career Paths
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