Group Project Repository Submission Template

Index

• Overview
• Getting Started
• Demo
• Authors
• References
• Credits

MRAC0X(XX/XX): ClassName XX - Student Project Name

This project aims to demonstrate a fantastic application using fascinating technologies, developed within the scope of the best class ever.

Overview

The project's justification, state-of-the-art, and inspiration live in this section.

Getting Started

Prerequisites

Ensure that you fulfill the following criteria to replicate this project.

• Ubuntu LTS 20.04 <
• Python 3.7 <
• Docker

Depencies

The project's dependencies include:

• Numpy - for matrix manipulation
• OpenCV - for image processing
• ROS - for interfacing with the robot

The dependencies are satisfied using the following sources:

# ROS Noetic and core dependencies
wget -c https://raw.githubusercontent.com/qboticslabs/ros_install_noetic/master/ros_install_noetic.sh && chmod +x ./ros_install_noetic.sh && ./ros_install_noetic.sh
# install numpy
pip3 install numpy setuptools

Installing

A step by step series of examples that tell you how to get a development env running

cd ~/catkin_ws/src
git submodule init
git submodule update
cd ../
rosdep install --from-paths src --ignore-src -r -y
catkin_make -DCMAKE_BUILD_TYPE=Release
source ./devel/setup.bash

Deployment

Add additional notes about how to deploy this on a live system

• Run the application with .docker/run_user_nvidia.sh
• Ensure that you are running the indicate command sudo chmod -R <user_name> \dev_ws for permitions
• Run terminator

Demo

Here is what the project can do and what are the results.

The project can be launched with the following command:

• roslaunch package_name package_name.launch

This opens up rviz and shows the robot moving around

Authors

• [Name](insert linkedin/webpage link) - role

References

• K. Albee et al., “A robust observation, planning, and control pipeline for autonomous rendezvous with tumbling targets,” Frontiers in Robotics and AI, vol. 8, p. 234, 2021, doi: 10.3389/frobt.2021.641338.

Credits

• [Name](insert linkedin/webpage link) - role

Acknowledgements

• Creation of GitHub template: Marita Georganta - Robotic Sensing Expert
• Creation of MRAC-IAAC GitHub Structure: Huanyu Li - Robotic Researcher