GithubHelp home page GithubHelp logo

jb69 / autonomouslawnmowerros Goto Github PK

View Code? Open in Web Editor NEW

This project forked from nrottmann/autonomouslawnmowerros

0.0 0.0 0.0 3.93 MB

Repository for ROS packages for the autonomous lawn mower

CMake 3.01% C++ 42.72% Python 24.79% Java 2.19% MATLAB 27.29%

autonomouslawnmowerros's Introduction

Autonomous Lawn Mower - ROS

ROS Stack for the self-designed autonomous lawn mower of the University of Luebeck. We aim to design a fully autonomous lawn mower equipped with chlorophyll sensors developed at our Institute. We show that intelligent behavior with only limited sensing is possible.

Requirements

  • ROS Kinetic
  • Gazebo V7.0 (comes with the full-Desktop Version of ROS Kinetic)
  • Eigen3

Packages

  • simulation_environment: Simulation Environment Package based on Gazebo for testing purposes
  • interfaces: Package for interfaces between ROS and the sensors and actuators of the real robot, e.g. the chlorophyll sensors, the IMU, the motor
  • localization: Package with localization algorithm such as a particle or a kalman filter
  • mapping: Package for the mapping algorithm, where based on a wall following controller a pose graph is generated which is updated due to detected loop closures
  • control: Control Package with different control algorithm, such as a PID Controller or a Wall Follower

How to get started

  • Start by creating a catkin workspace folder and downloading the git repository

    mkdir -p ~/mower_ws/src
    cd ~/mower_ws/src
    git clone https://github.com/NRottmann/AutonomousLawnMowerROS
  • Compile the catkin workspace

    cd ~/mower_ws
    catkin_make
  • Run the mapping algorithm by first sourcing your packages and then starting the launch script

    source devel/setup.bash
    roslaunch mapping mapping_simulation.launch
  • It should open then a Gazebo environment which shows the robot cycling along the boundary of the closed environment, similar to the picture below

Setup of the simulated Lawn Mower

The lawn mower robot properties are defined in the .yaml-file

AutonomousLawnMowerROS/simulation_environment/config/props.yaml

The properties define the structure of the robot as defined in the Figure below.

autonomouslawnmowerros's People

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.