dc.contributor.author | Makulavičius, Mantas | |
dc.contributor.author | Makutėnas, Justas | |
dc.contributor.author | Čičiurėnas, Dominykas | |
dc.contributor.author | Bučinskas, Vytautas | |
dc.contributor.author | Dzedzickis, Andrius | |
dc.date.accessioned | 2023-09-18T16:41:52Z | |
dc.date.available | 2023-09-18T16:41:52Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/116098 | |
dc.description.abstract | Growing interest in applying industrial robots for mechanical machining raises demand for intelligent and reliable methods able to generate comprehensively optimal tool paths. Currently, available tool path generation methods and tools typically have limited optimization capabilities, and the quality of created tool path strongly depends on the operator's experience. This paper covers the initial concept of the new path generation method for industrial robots. This method includes tool path interpolation using conventional offline programming tools, sensors data collection, and their data fusion for a machine learning-based path generation approach. | eng |
dc.format.extent | p. 1-2 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.source.uri | https://events.edi.lv/iwoedi2023/wp-content/uploads/sites/2/2023/06/IWoEDI-2023-The-Concept-of-Efficient-Tool-Path-Generation-Method-for-Industrial-Robots.pdf | |
dc.source.uri | https://events.edi.lv/iwoedi2023/ | |
dc.title | The concept of efficient tool path generation method for industrial robots | |
dc.type | Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication | |
dcterms.references | 13 | |
dc.type.pubtype | P1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings | |
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.studydirection | E06 - Mechanikos inžinerija / Mechanical engineering | |
dc.subject.vgtuprioritizedfields | MC0101 - Mechatroninės gamybos sistemos Pramonė 4.0 platformoje / Mechatronic for Industry 4.0 Production System | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | industrial robots | |
dc.subject.en | tool path | |
dc.subject.en | sensors fusion | |
dc.subject.en | machine learning | |
dcterms.sourcetitle | International Workshop on Embedded Digital Intelligence (IWoEDI'2023), June 20-22 - Riga, Latvia | |
dc.publisher.name | Institute of Electronics and Computer Science | |
dc.publisher.city | Riga | |
dc.identifier.elaba | 174933178 | |