Job Allocation schemes for Mobile Service Robots in Hospitals

Bikram Kumar, Lokesh Sharma, Shih Lin Wu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

Automation of logistics in pickup and delivery in hospital shows a great helping hand to the active workers. The application needs to allocate jobs to robots. The objective of the application is to produce an efficient system with the minimum total movement distance of all robots distance. In this paper, we propose two schemes, deep Hungarian (d-Hungarian) and deep Voronoi (d-Voronoi) job scheduling schemes. The d-Hungarian scheme is designed for one type of environment where the location of jobs is known prior whereas prior knowledge of jobs is not required in the d-Voronoi scheme. Simulation results show that our schemes efficiently reduce the traveled distance.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
EditorsHarald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1323-1326
Number of pages4
ISBN (Electronic)9781538654880
DOIs
StatePublished - 21 01 2019
Event2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain
Duration: 03 12 201806 12 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

Conference

Conference2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
Country/TerritorySpain
CityMadrid
Period03/12/1806/12/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Hospital Management
  • Hungarian
  • Pick-up and Delivery
  • Voronoi

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