A new robust method for mobile robot multifloor navigation in distributed life science laboratories
type: Item
instance of: scholarly article
title: A new robust method for mobile robot multifloor navigation in distributed life science laboratories
zbMATH Open document ID: 1346.93126
DOI: 10.1155/2016/3589395
author: Ali A. Abdulla
author: Norbert Stoll
author: Kerstin Thurow
author: Hui Liu
published in: Journal of Control Science and Engineering
publication date: 2016-10-20T00:00:00Z
review text: Summary: A new robust method is proposed for multifloor navigation in distributed Life Science Laboratories. This method proposes a solution for many technical issues including (a) mapping and localization with ceiling landmarks and a StarGazer module for achieving an accurate and low cost multifloor navigation system, (b) a new method for path planning to navigate across multiple floor environments called backbone method and embedded transportation management system, (c) elevator environment handler with the necessary procedures to interact with the elevator presenting a new approach for elevator entry button and internal buttons detection, and (d) a communication system to get an expandable network; this method utilizes a TCP/IP network for the communication. Many experiments in real Life Science Laboratories proved the efficient performance of the developed multifloor navigation system in life science environment.
Mathematics Subject Classification ID: 93B35
Mathematics Subject Classification ID: 93C85
Mathematics Subject Classification ID: 90B18
zbMATH DE Number: 6641372
zbMATH Keywords: robust control
zbMATH Keywords: mobile robot
zbMATH Keywords: multifloor navigation
Wikidata QID: Q59126028
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/3589395
OpenAlex ID: W2504050106
cites work: Optimal motion planning of non-linear dynamic systems in the presence of obstacles and moving boundaries using SDRE: application on cable-suspended robot
description: scientific article; zbMATH DE number 6641372