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Evolutionary optimization of sliding contact positions in powered floor systems for mobile robots

Medvet, Eric
•
Seriani, Stefano
•
Bartoli, Alberto
•
Gallina, Paolo
2020
  • journal article

Periodico
AUTOMATISIERUNGSTECHNIK
Abstract
Mobile robotics is a rapidly expanding technology due to its potential for increased safety and lower costs. In many applications, power is supplied to the robot through sliding contacts and a powered floor. Deciding the positions of the contacts on the robot is a difficult task: for any position/orientation of the robot, at least one contact has to touch a positive strip and at least one a negative strip. In this work, we tackle the problem using Differential Evolution (DE). We formally define problem-specific constraints and objectives and then describe how to use DE for evolving contact positions that satisfy those constraints and maximize those objectives. We validate experimentally our proposal by applying it to three real robots and by studying the impact of the main problem parameters on the effectiveness of the evolved designs for the sliding contacts.
DOI
10.1515/auto-2019-0113
WOS
WOS:000508655100003
Archivio
http://hdl.handle.net/11368/2955589
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85079184975
https://www.degruyter.com/view/j/auto.2020.68.issue-2/auto-2019-0113/auto-2019-0113.xml
Diritti
open access
license:copyright editore
FVG url
https://arts.units.it/bitstream/11368/2955589/1/2019-Automatisierungstechnik-PowerSupplyGeometryDesign.pdf
Soggetti
  • multi-objective optim...

  • automatic design

  • Differential Evolutio...

Web of Science© citazioni
1
Data di acquisizione
Mar 6, 2024
Visualizzazioni
5
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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