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Pregled bibliografske jedinice broj: 1055070

Path planning optimization of six-degree-of- freedom robotic manipulators using evolutionary algorithms


(Faculty of Mechanical Engineering, University of Žilina, Žilina, Slovakia) Baressi Šegota, Sandi; Anđelić, Nikola; Lorencin, Ivan; Saga, Milan; Car, Zlatan
Path planning optimization of six-degree-of- freedom robotic manipulators using evolutionary algorithms // International journal of advanced robotic systems, 17 (2020), 2; 1-16 doi:10.1177/1729881420908076 (međunarodna recenzija, članak, znanstveni)


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Naslov
Path planning optimization of six-degree-of- freedom robotic manipulators using evolutionary algorithms
(Path planning optimization of six-degree-of- freedom robotic manipulators using evolutionary algorithms)

Autori
Baressi Šegota, Sandi ; Anđelić, Nikola ; Lorencin, Ivan ; Saga, Milan ; Car, Zlatan

Kolaboracija
Faculty of Mechanical Engineering, University of Žilina, Žilina, Slovakia

Izvornik
International journal of advanced robotic systems (1729-8806) 17 (2020), 2; 1-16

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Artificial intelligence, cooperating robotic manipulators, differential evolution, genetic algorithm, robot trajectory planning, simulated annealing

Sažetak
Lowering joint torques of a robotic manipulator enables lowering the energy it uses as well as an increase in the longevity of the robotic manipulator. This article proposes the use of evolutionary computation algorithms for optimizing the paths of the robotic manipulator with the goal of lowering the joint torques. The robotic manipulator used for optimization is modeled after a realistic six-degree-of- freedom robotic manipulator. Two cases are observed and these are a single robotic manipulator carrying weight in a point-to-point trajectory and two robotic manipulators cooperating and moving the same weight along a calculated point-to-point trajectory. The article describes the process used for determining the kinematic properties using Denavit–Hartenberg method and the dynamic equations of the robotic manipulator using Lagrange–Euler and Newton–Euler algorithms. Then, the description of used artificial intelligence optimization algorithms is given – genetic algorithm using random and average recombination, simulated annealing using linear and geometric cooling strategy and differential evolution. The methods are compared and the results show that the genetic algorithm provides best results in regard to torque minimization, with differential evolution also providing comparatively good results and simulated annealing giving the comparatively weakest results while providing smoother torque curves.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Strojarstvo, Temeljne tehničke znanosti



POVEZANOST RADA


Projekti:
uniri-tehnic-18-275-1447
CEEPUS CIII-HR-0108
DATACROSS KK.01.1.1.01.0009
VEGA 1/0504/17
Ostalo-CEI - 305.6019-20 - Use of regressive artificial intelligence (AI) and machine learning (ML) methods in modelling of COVID-19 spread (COVIDAi) (Car, Zlatan, Ostalo - CEI Extraordinary Call for Proposals 2020) ( POIROT)
EK-EFRR-KK.01.2.2.03.0004 - Centar kompetencija za pametne gradove (CEKOM) (Car, Zlatan; Slavić, Nataša; Vilke, Siniša, EK - KK.01.2.2.03) ( POIROT)
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-275-1447 - Razvoj inteligentnog ekspertnog sustava za online diagnostiku raka mokračnog mjehura (Car, Zlatan, NadSve - UNIRI potpore) ( POIROT)
InoUstZnVO-CIII-HR-0108-10 - Concurrent Product and Technology Development - Teaching, Research and Implementation of Joint Programs Oriented in Production and Industrial Engineering (Car, Zlatan, InoUstZnVO - CEEPUS) ( POIROT)
EK-KF-KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Lončarić, Sven; Petrović, Ivan; Šmuc, Tomislav; Jokić, Andrej, EK - KK.01.1.1.01) ( POIROT)
EK-KF-KK.01.1.1.01.0009-1 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima - IJ za znanost o podatcima (Lončarić, Sven, EK - KK.01.1.1.01) ( POIROT)

Ustanove:
Tehnički fakultet, Rijeka

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi journals.sagepub.com

Citiraj ovu publikaciju:

(Faculty of Mechanical Engineering, University of Žilina, Žilina, Slovakia) Baressi Šegota, Sandi; Anđelić, Nikola; Lorencin, Ivan; Saga, Milan; Car, Zlatan
Path planning optimization of six-degree-of- freedom robotic manipulators using evolutionary algorithms // International journal of advanced robotic systems, 17 (2020), 2; 1-16 doi:10.1177/1729881420908076 (međunarodna recenzija, članak, znanstveni)
(Faculty of Mechanical Engineering, University of Žilina, Žilina, Slovakia) (Faculty of Mechanical Engineering, University of Žilina, Žilina, Slovakia) Baressi Šegota, Sandi, Anđelić, N., Lorencin, I., Saga, M. & Car, Z. (2020) Path planning optimization of six-degree-of- freedom robotic manipulators using evolutionary algorithms. International journal of advanced robotic systems, 17 (2), 1-16 doi:10.1177/1729881420908076.
@article{article, author = {Baressi \v{S}egota, Sandi and An\djeli\'{c}, Nikola and Lorencin, Ivan and Saga, Milan and Car, Zlatan}, year = {2020}, pages = {1-16}, DOI = {10.1177/1729881420908076}, keywords = {Artificial intelligence, cooperating robotic manipulators, differential evolution, genetic algorithm, robot trajectory planning, simulated annealing}, journal = {International journal of advanced robotic systems}, doi = {10.1177/1729881420908076}, volume = {17}, number = {2}, issn = {1729-8806}, title = {Path planning optimization of six-degree-of- freedom robotic manipulators using evolutionary algorithms}, keyword = {Artificial intelligence, cooperating robotic manipulators, differential evolution, genetic algorithm, robot trajectory planning, simulated annealing} }
@article{article, author = {Baressi \v{S}egota, Sandi and An\djeli\'{c}, Nikola and Lorencin, Ivan and Saga, Milan and Car, Zlatan}, year = {2020}, pages = {1-16}, DOI = {10.1177/1729881420908076}, keywords = {Artificial intelligence, cooperating robotic manipulators, differential evolution, genetic algorithm, robot trajectory planning, simulated annealing}, journal = {International journal of advanced robotic systems}, doi = {10.1177/1729881420908076}, volume = {17}, number = {2}, issn = {1729-8806}, title = {Path planning optimization of six-degree-of- freedom robotic manipulators using evolutionary algorithms}, keyword = {Artificial intelligence, cooperating robotic manipulators, differential evolution, genetic algorithm, robot trajectory planning, simulated annealing} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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