| dc.contributor.author | Dzedzickis, Andrius | |
| dc.contributor.author | Subačiūtė-Žemaitienė, Jurga | |
| dc.contributor.author | Šutinys, Ernestas | |
| dc.contributor.author | Samukaitė-Bubnienė, Urtė | |
| dc.contributor.author | Bučinskas, Vytautas | |
| dc.date.accessioned | 2023-09-18T16:12:36Z | |
| dc.date.available | 2023-09-18T16:12:36Z | |
| dc.date.issued | 2022 | |
| dc.identifier.issn | 2076-3417 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/112365 | |
| dc.description.abstract | This review is dedicated to the advanced applications of robotic technologies in the industrial field. Robotic solutions in areas with non-intensive applications are presented, and their implementations are analysed. We also provide an overview of survey publications and technical reports, classified by application criteria, and the development of the structure of existing solutions, and identify recent research gaps. The analysis results reveal the background to the existing obstacles and problems. These issues relate to the areas of psychology, human nature, special artificial intelligence (AI) implementation, and the robot-oriented object design paradigm. Analysis of robot applications shows that the existing emerging applications in robotics face technical and psychological obstacles. The results of this review revealed four directions of required advancement in robotics: development of intelligent companions; improved implementation of AI-based solutions; robot-oriented design of objects; and psychological solutions for robot–human collaboration | eng |
| dc.format | PDF | |
| dc.format.extent | p. 1-25 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
| dc.relation.isreferencedby | Scopus | |
| dc.relation.isreferencedby | INSPEC | |
| dc.relation.isreferencedby | J-Gate | |
| dc.relation.isreferencedby | Gale's Academic OneFile | |
| dc.relation.isreferencedby | Agris | |
| dc.rights | Laisvai prieinamas internete | |
| dc.source.uri | http://www.mdpi.com/2076-3417/12/1/135 | |
| dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:115477429/datastreams/MAIN/content | |
| dc.subject | 00 - Klasifikacija netaikoma / Classification does not apply | |
| dc.title | Advanced applications of industrial robotics: new trends and possibilities | |
| dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
| dcterms.accessRights | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/) | |
| dcterms.license | Creative Commons – Attribution – 4.0 International | |
| dcterms.references | 119 | |
| dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Mechanikos fakultetas / Faculty of Mechanics | |
| dc.subject.researchfield | T 009 - Mechanikos inžinerija / Mechanical enginering | |
| dc.subject.vgtuprioritizedfields | MC03 - Išmaniosios įterptinės sistemos / Smart embedded systems | |
| dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
| dc.subject.en | industrial robots | |
| dc.subject.en | collaborative robots | |
| dc.subject.en | machine learning in robotics | |
| dc.subject.en | computer vision | |
| dcterms.sourcetitle | Applied sciences: Special issue: Trends and challenges in robotic applications | |
| dc.description.issue | iss. 1 | |
| dc.description.volume | vol. 12 | |
| dc.publisher.name | MDPI | |
| dc.publisher.city | Basel | |
| dc.identifier.doi | 000741785000001 | |
| dc.identifier.doi | 10.3390/app12010135 | |
| dc.identifier.elaba | 115477429 | |
