ROS 2 Artificial Intelligent Robot using Raspberry PI

Course Curriculum

Chapter 1: ROS 2 Bringup and Github Configure

Lecture 1: Guide Lines for this Course

Lecture 2: Section Introduction

Lecture 3: Installing ROS Foxy

Lecture 4: Start Developing in ROS2

Lecture 5: ROS2 Workspace and Package Setup

Lecture 6: ROS2 Publisher Subscriber Node Refresher

Lecture 7: Package Github Push

Lecture 8: Raspberry pi 4 Introduction

Lecture 9: Raspberry pi Setup tools

Lecture 10: Raspberry pi Headless boot and SSH

Lecture 11: Raspberry pi ROS Setup

Lecture 12: Raspberry pi Package Setup

Lecture 13: ROS2 Communication and Version Control

Chapter 2: Building Robot

Lecture 1: Section Introduction

Lecture 2: Robot building Compnents

Lecture 3: Lets Compile the Robot

Lecture 4: Electronics Connection

Lecture 5: Performing all Robot Connections

Lecture 6: Understanding Motor Drive

Lecture 7: Raspberry pi GPIO Library Functioning

Lecture 8: GPIO Library Basic Testing

Lecture 9: Robot Drive Testing

Lecture 10: ROS2 Turtlesim Velocity Communication

Lecture 11: Differential Drive Robot Kinematics Implementation

Lecture 12: ROS2 Twist Message

Lecture 13: Read About ROS2 Nodes workflow

Lecture 14: Robot Drive Node

Lecture 15: Joystick Integration

Lecture 16: Github Push

Chapter 3: Qr Maze Solving Robot

Lecture 1: Section Introduction

Lecture 2: Meshes Positions

Lecture 3: Transform and Robot Structures

Lecture 4: Robot Joint's Positioning

Lecture 5: Robot State Publisher

Lecture 6: Robot to URDF

Lecture 7: RVIZ and Meshes

Lecture 8: Solving Meshes Issues for RVIZ

Lecture 9: Joints Test in Rviz

Lecture 10: Gazebo Launch Files

Lecture 11: Differential Drive Plugin

Lecture 12: Camera Plugin Integration

Lecture 13: Lidar Plugin Integration

Lecture 14: QR Codes Generation

Lecture 15: Maze Creation in Blender

Lecture 16: Finishing Maze Creation

Lecture 17: Adding QR Codes to Maze

Lecture 18: Bringing Maze to Gazebo

Lecture 19: QR Maze World Creation in Gazebo

Lecture 20: Setting up Nodes

Lecture 21: Lidar Detection and Reaction

Lecture 22: Manual Maze Solving

Lecture 23: Github Push

Chapter 4: Line Following Robot Simulation and Real Robot

Lecture 1: Section Introduction

Lecture 2: Line Model Creation in Blender

Lecture 3: Model Exporting into Gazebo

Lecture 4: Node Creation

Lecture 5: Camera Repositioning

Lecture 6: World File Updating

Lecture 7: Image Processing Node

Lecture 8: Line Segmentation

Lecture 9: Mid Point Extraction

Lecture 10: Line Following in Simulation

Lecture 11: Raspberry pi Video Feed

Lecture 12: Data Bandwidth Optimization

Lecture 13: Real Time image Processing Node

Lecture 14: Line Segmentation for Real Robot

Lecture 15: Parameters Tuning for Algorithms

Lecture 16: Testing line Following on ground

Lecture 17: Finalizing Code

Lecture 18: Robot Output Comparisons

Lecture 19: Github Push

Chapter 5: AI Search Robot

Lecture 1: Section Introduction

Lecture 2: Tensorflow Lite Model

Lecture 3: Model Discussion and Obtaining

Lecture 4: Model Running

Lecture 5: Prediction Script

Lecture 6: Inferencing

Lecture 7: Boundary Boxes and Label Output

Lecture 8: AI Node Creation

Lecture 9: Real Time Model Predictions

Lecture 10: Finalizing the Node

Lecture 11: Joy drive and Launch File

Lecture 12: Syncing things up

Lecture 13: Project Output

Lecture 14: Github Push