ROS2 Based Intelligent Vision Robot

• [Get course Here]

About this Repository

This repository is for a mobile robot which is a 2 wheel differential drive with a caster . We will First build the robot using 3D printed parts. All electronics is going to be explained for proper connections .

Raspberry Pi 4 is going to be main brain for this robot . ROS2 foxy and humble both are going to be utilized using this course . WiFi Communication between laptop and Raspberry Pi will be done .

We will look into image data transmission  and bandwidth optimization for our computer vision based projects . 

Using this Repository

• Move into your workspace/src folder

 cd path/to/ros2_ws/src/
##e.g cd ~/ros2_ws/src/
  

• Clone the repository in your workspace

git clone https://github.com/noshluk2/ROS2-Raspberry-PI-Intelligent-Vision-Robot

• Perform make and build through colcon

 cd /path/to/workspace_root/
 ##e.g ~/ros2_ws_ws/
 colcon build
 

• Source your Workspace in any terminal you open to Run files from this workspace ( which is a basic thing of ROS )

source /path/to/ros2_ws/install/setup.bash

• (Optional for Power USERs only) Add source to this workspace into bash file

echo "source ~/ros2_ws/install/setup.bash" >> ~/.bashrc
 

NOTE: This upper command is going to add the source file path into your ~/.bashrc file ( Only perform it once and you know what you are doing).This will save your time when running things from the Workspace

Features

• Robot Controller Driving
  • 
• Maze Solving through QR with Opencv
  • 
• Line Following Robot using Computer Vision
  • 
• Surveillance based on AI robot
  • 

Pre-Course Requirments

Software

• Ubuntu 22.04
• Opencv 4
• TensorFlow 2
• ROS 2
• Motivated mind for a huge programming Project :)

Hardware

• Raspberrypi 4
• Two Geared Dc motors 12V
• 12V lipo Battery
• 3D print parts provided
• Power Bank
• Jumper Wires

• L298D motor Driver

  Link to the Course

  Below is a discounted coupon for people who want to take the course in which more explaination to this code has been added

[Get course Here]

Commands

• export RMW_IMPLEMENTATION=rmw_cyclonedds_cpp

File truncated at 100 lines see the full file