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This repository contains all the documentation, code and design of the robot as part of my bachelor thesis. The main purpose of the robot is to extract map of the unknown indoor environments. It is an alternative and affordable platform to study on Simultaneous Localization and Mapping (SLAM).

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oko_slam

NOTE: The following people contributed equally to this project:

This repository contains all the documentation, code and design of the robot made by "Öz Kardeşler Otomasyon (OKO)". The main purpose of the robot is to extract map of the unknown indoor environment. It is an alternative and cheap platform to study on Simultaneous Localization and Mapping (SLAM).

Prerequisites

  • ROS Kinetic
  • Ubuntu 16.04

Installation

Run oko_install.sh to install necessary ros packages using apt manager. If you want to use this meta-package in raspberry pi enter input as raspberry. Otherwise, enter input as pc.

$ cd oko_slam
$ . oko_install.sh
Oz Kardesler Otomasyon
Installation Script for Raspberry-Pi/General Computer
Please Enter Input:{raspberry, pc} 
$ raspberry

Now install source packages inside of oko_slam ROS meta-package. Go to directory ros_ws:

$ cd oko_slam/ros_ws

Build ROS workspace with catkin

$ catkin_make

NOTE: Do not forget to make source to setup.bash after build. You have to source setup.bash from each new terminal. If you don't want to do this, you can add below source line into .bashrc file.

$ source ros_ws/devel/setup.bash

If you want to install and use Cartographer_ROS SLAM algorithm, then you need to follow Cartographer_ROS SLAM INSTALLATION GUIDE & TUTORIALS

Documentation

For documentation and tutorials please see the doc directory.

About

This repository contains all the documentation, code and design of the robot as part of my bachelor thesis. The main purpose of the robot is to extract map of the unknown indoor environments. It is an alternative and affordable platform to study on Simultaneous Localization and Mapping (SLAM).

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