Predicate‐based model of problem‐solving for robotic actions planning

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Predicate‐based model of problem‐solving for robotic actions planning. / Tsymbal, Oleksandr; Mercorelli, Paolo; Sergiyenko, Oleg.
in: Mathematics, Jahrgang 9, Nr. 23, 3044, 01.12.2021.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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Tsymbal O, Mercorelli P, Sergiyenko O. Predicate‐based model of problem‐solving for robotic actions planning. Mathematics. 2021 Dez 1;9(23):3044. doi: 10.3390/math9233044

Bibtex

@article{e88d1f4ab04749a3995d118f9dcc1251,
title = "Predicate‐based model of problem‐solving for robotic actions planning",
abstract = "The aim of the article is to describe a predicate‐based logical model for the problem‐solving of robots. The proposed article deals with analyses of trends of problem‐solving robotic applications for manufacturing, especially for transportations and manipulations. Intelligent agent‐based manufacturing systems with robotic agents are observed. The intelligent cores of them are considered from point of view of ability to propose the plans of problem‐solving in the form of strategies. The logical model of adaptive strategies planning for the intelligent robotic system is composed in the form of predicates with a presentation of data processing on a base of set theory. The dynamic structures of workspaces, and a possible change of goals are considered as reasons for functional strategies adaptation.",
keywords = "Adaptation, Manufacturing system, Predicates, Problem‐solving, Robotics, Engineering, Mathematics",
author = "Oleksandr Tsymbal and Paolo Mercorelli and Oleg Sergiyenko",
note = "This publication was funded by the Open Access Publication Fund of Leuphana University L{\"u}neburg. ",
year = "2021",
month = dec,
day = "1",
doi = "10.3390/math9233044",
language = "English",
volume = "9",
journal = "Mathematics",
issn = "2227-7390",
publisher = "MDPI AG",
number = "23",

}

RIS

TY - JOUR

T1 - Predicate‐based model of problem‐solving for robotic actions planning

AU - Tsymbal, Oleksandr

AU - Mercorelli, Paolo

AU - Sergiyenko, Oleg

N1 - This publication was funded by the Open Access Publication Fund of Leuphana University Lüneburg.

PY - 2021/12/1

Y1 - 2021/12/1

N2 - The aim of the article is to describe a predicate‐based logical model for the problem‐solving of robots. The proposed article deals with analyses of trends of problem‐solving robotic applications for manufacturing, especially for transportations and manipulations. Intelligent agent‐based manufacturing systems with robotic agents are observed. The intelligent cores of them are considered from point of view of ability to propose the plans of problem‐solving in the form of strategies. The logical model of adaptive strategies planning for the intelligent robotic system is composed in the form of predicates with a presentation of data processing on a base of set theory. The dynamic structures of workspaces, and a possible change of goals are considered as reasons for functional strategies adaptation.

AB - The aim of the article is to describe a predicate‐based logical model for the problem‐solving of robots. The proposed article deals with analyses of trends of problem‐solving robotic applications for manufacturing, especially for transportations and manipulations. Intelligent agent‐based manufacturing systems with robotic agents are observed. The intelligent cores of them are considered from point of view of ability to propose the plans of problem‐solving in the form of strategies. The logical model of adaptive strategies planning for the intelligent robotic system is composed in the form of predicates with a presentation of data processing on a base of set theory. The dynamic structures of workspaces, and a possible change of goals are considered as reasons for functional strategies adaptation.

KW - Adaptation

KW - Manufacturing system

KW - Predicates

KW - Problem‐solving

KW - Robotics

KW - Engineering

KW - Mathematics

UR - http://www.scopus.com/inward/record.url?scp=85120331453&partnerID=8YFLogxK

U2 - 10.3390/math9233044

DO - 10.3390/math9233044

M3 - Journal articles

AN - SCOPUS:85120331453

VL - 9

JO - Mathematics

JF - Mathematics

SN - 2227-7390

IS - 23

M1 - 3044

ER -

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