PAI's project

Code and documentation for a UGV that can work and be teleoperated in a field.

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📝Table of contents

📌About The Project
- Built With
🏁Getting Started
🎈Usage
🔑License
✏️Authors
🎉Acknowledgments

📌About The Project

Welcome to the PAI ROS 1 package repository! This package contains source code and documentation for a UGV that can work in a field. This project is part of the PAI subject at the Universidad Nacional de Colombia.

Note: This package is being developed using ROS noetic

Built With

🏁Getting Started

This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

Prerequisites

In order to avoid installing ROS on your local machine, we will be using a docker image to run ROS. So, you will just need to install Docker in your local machine.

Installation

Clone the repo

git clone https://github.com/cychitivav/pai.git

Build the docker image
```
docker build -t pai:latest .
```

Run the docker image

docker run -it \
 		   --rm \
		   -v /tmp/.X11-unix:/tmp/.X11-unix:rw \
           -v $PWD:/root/catkin_ws/src/pai \
		   --name pai \
		   pai:latest

Note: If you have troubles with the display, try to run the following command before running the docker image:
xhost +local:root

GitHub Codespace

Codespaces add an easy way to start contributing to this project. Some extra step are needed to run the visualization in a remote machine. You need to create a GitHub Codespace:

To create a Codespace, click on the following button:
Choose the configuration that best suits you (A high performance configuration is recommended)
Wait for the Codespace to be created and set up (It will appear a terminal which is running some scripts)
Set a password for the root user
```
passwd
```