Skip to search boxSkip to navigationSkip to main content

An implementation of SLAM using ROS and Arduino

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

This paper aims to explore the Simultaneous Localization and Mapping (SLAM) problem in the context of implementation using the Robot Operating System (ROS) framework and the Arduino technology. The implementation of an inexpensive differential drive robot for SLAM is detailed and verified by mapping experiments conducted within domestic environments. Furthermore, a modest, yet convenient, theoretical explanation of the algorithm (Rao-Blackwellization particle filter) behind the platform is also presented. Overall, this report leads to a simple and cost effective way - including a code base and guidelines - to create robots for 2D mapping using modern technologies such as ROS.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1-6

Publication milestones

  • Published - 08/02/2018

Publication status

Published - 08/02/2018

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781538610817

External Publication IDs

  • handle.net: 10547/623867

Host publication title

2017 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)

Access to documents