Please use this identifier to cite or link to this item:
https://doi.org/10.48548/pubdata-1543
Full metadata record
| Field | Value |
|---|---|
| Resource type | Journal Article |
| Title(s) | Predicate-Based Model of Problem-Solving for Robotic Actions Planning |
| DOI | 10.48548/pubdata-1543 |
| Handle | 20.500.14123/1619 |
| Creator | Tsymbal, Oleksandr  0000-0002-4947-7446Mercorelli, Paolo 0000-0003-3288-5280Sergiyenko, Oleg 0000-0003-4270-6872 |
| 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. |
| Language | English |
| Keywords | Adaptation; Robotics; Manufacturing System |
| Year of publication in PubData | 2024 |
| Publishing type | Parallel publication |
| Publication version | Published version |
| Date issued | 2021-11-26 |
| Creation context | Research |
| Faculty / department | Fakultät Wirtschaft |
| Notes | This publication was funded by the Open Access Publication Fund of Leuphana University Lüneburg. |
| Date of Availability | 2024-11-22T14:30:39Z |
| Archiving Facility | Medien- und Informationszentrum (Leuphana Universität Lüneburg  02w2y2t16) |
| Published by | Medien- und Informationszentrum, Leuphana Universität Lüneburg |
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|---|---|---|---|---|
Tsymbal_Predicate-Based_Model_of_Problem-Solving_for_Robotic_Actions_Planning.pdf License: 
open-access | 1.65 MB | Adobe PDF | View/Open |
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