Logo do repositório
 
Publicação

An Approach to Environmental Cleanup Through Conceptual Autonomous Technology

datacite.subject.fosCiências Naturais::Matemáticas
datacite.subject.fosCiências Naturais::Ciências da Terra e do Ambiente
datacite.subject.sdg06:Água Potável e Saneamento
dc.contributor.authorBalsa, Carlos
dc.contributor.authorVictoria Otero-Espinar
dc.contributor.authorSílvio Gama
dc.date.accessioned2026-03-23T12:06:43Z
dc.date.available2026-03-23T12:06:43Z
dc.date.issued2024
dc.description.abstractThis work presents a mathematical toy model for a process of garbage collection encompassing the coordination of a vast array of autonomous devices, where each device needs only a few trajectory adjustments. This simplified conceptual model serves as a valuable tool for both educational and initial research purposes. In this model, each autonomous device is represented by a passive particle, while the environmental currents are depicted by the dynamic behavior of point vortices on a spherical surface. In order to maintain device autonomy, a system of piecewise constant controls is utilized, which involves a limited set of predetermined switching points to adjust the trajectory. Each control incurs an energy expense, and the model aims to minimize this cost by solving a nonlinear optimization problem. The preliminary findings suggest the presence of multiple potential trajectories for autonomous devices, each associated with different energy costs.eng
dc.identifier.citationBalsa, C.; Otero-Espinar, V.; Gama, S. (2023) An Approach to Environmental Cleanup through Conceptual Autonomous Technology . In Proceedings of TEEM 2023. Springer Nature. ISNN 2196-4963, p. 582-591.
dc.identifier.doi10.1007/978-981-97-1814-6_57
dc.identifier.isbn9789819718139
dc.identifier.issn2196-4963
dc.identifier.urihttp://hdl.handle.net/10198/36219
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relation.ispartofLecture Notes in Educational Technology
dc.relation.ispartofProceedings of TEEM 2023
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectNonlinear optimization
dc.subjectAutonomous systems
dc.subjectOptimal control
dc.titleAn Approach to Environmental Cleanup Through Conceptual Autonomous Technologyeng
dc.typebook part
dspace.entity.typePublication
oaire.awardNumberUIDB/05757/2020
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.endPage591
oaire.citation.startPage582
oaire.citation.titleLecture Notes in Educational Technology
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameBalsa
person.givenNameCarlos
person.identifier1721518
person.identifier.ciencia-idDE1E-2F7A-AAB1
person.identifier.orcid0000-0003-2431-8665
person.identifier.ridM-8735-2013
person.identifier.scopus-author-id23391719100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicationd0e5ccff-9696-4f4f-9567-8d698a6bf17d
relation.isAuthorOfPublication.latestForDiscoveryd0e5ccff-9696-4f4f-9567-8d698a6bf17d
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
relation.isProjectOfPublication.latestForDiscovery6e01ddc8-6a82-4131-bca6-84789fa234bd

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
An Approach.pdf
Tamanho:
553.76 KB
Formato:
Adobe Portable Document Format
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.75 KB
Formato:
Item-specific license agreed upon to submission
Descrição: