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Paper Abstract and Keywords
Presentation 2022-05-20 14:45
Energy-Constrained Autonomous Mobile Robots: Computational Power and Cross-Model Analysis
Kevin Buchin (TU Dort.), Paola Flocchini (Univ. of Ottawa), Irina Kostitsyna, Tom Peters (TU Eind.), Nicola Santoro (Carleton Univ.), Koichi Wada (Hosei Univ.) COMP2022-9
Abstract (in Japanese) (See Japanese page) 
(in English) We consider distributed systems of identical autonomous computational entities, called
robots, moving and operating in the plane in synchronous Look-Compute-Move (LCM) cycles. The algorithmic capabilities of these systems have been extensively investigated in the literature under four distinct models (OBLOT, FSTA, FCOM, LUMI), each identifying different levels of memory persistence and communication capabilities of the robots. Despite their differences, they all always assume that robots have
unlimited amounts of energy.

In this paper, we remove this assumption and start the study of the computational capabilities of robots whose energy is limited, albeit renewable.
We first study the impact that memory persistence and communication capabilities have on the computational power of such energy-constrained systems of robots; we do so by analyzing the computational relationship between the four models under this energy constraint.
We provide a complete characterization of this relationship.
We then study the difference in computational power caused by the energy restriction and provide a complete characterization of the relationship between energy-constrained and unrestricted robots in each model. We prove that within LUMI there is no difference;
an integral part of the proof is the design and analysis of an algorithm that in LUMI allows energy-constrained robots to execute correctly any protocol for robots with unlimited energy.
We then show the (apparently counterintuitive) result that in all other models,
the energy constraint actually provides the robots with a computational advantage.
Keyword (in Japanese) (See Japanese page) 
(in English) oblivious robots / luminous robots / energy-constrained robots / comparison of models / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 33, COMP2022-9, pp. 54-61, May 2022.
Paper # COMP2022-9 
Date of Issue 2022-05-12 (COMP) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF COMP2022-9

Conference Information
Committee COMP IPSJ-AL  
Conference Date 2022-05-19 - 2022-05-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To COMP 
Conference Code 2022-05-COMP-AL 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Energy-Constrained Autonomous Mobile Robots: Computational Power and Cross-Model Analysis 
Sub Title (in English)  
Keyword(1) oblivious robots  
Keyword(2) luminous robots  
Keyword(3) energy-constrained robots  
Keyword(4) comparison of models  
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1st Author's Name Kevin Buchin  
1st Author's Affiliation TU Dortmund (TU Dort.)
2nd Author's Name Paola Flocchini  
2nd Author's Affiliation University of Ottawa (Univ. of Ottawa)
3rd Author's Name Irina Kostitsyna  
3rd Author's Affiliation TU Eindhoven (TU Eind.)
4th Author's Name Tom Peters  
4th Author's Affiliation TU Eindhoven (TU Eind.)
5th Author's Name Nicola Santoro  
5th Author's Affiliation Carleton University (Carleton Univ.)
6th Author's Name Koichi Wada  
6th Author's Affiliation Hosei University (Hosei Univ.)
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Speaker Author-6 
Date Time 2022-05-20 14:45:00 
Presentation Time 35 minutes 
Registration for COMP 
Paper # COMP2022-9 
Volume (vol) vol.122 
Number (no) no.33 
Page pp.54-61 
#Pages
Date of Issue 2022-05-12 (COMP) 


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