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Pregled bibliografske jedinice broj: 1113610

Intelligent Algorithms for Non-parametric Robot Calibration:


Turković, Marija; Švaco, Marko; Jerbić, Bojan
Intelligent Algorithms for Non-parametric Robot Calibration: // Proceedings of the International Conference on Robotics, Computer Vision and Intelligent Systems / Péter, Galambos ; Kurosh, Madani (ur.).
Budapest, Hungary: SCITEPRESS - Science and Technology Publications, 2020. str. 51-58 doi:10.5220/0010176900510058 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)


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Naslov
Intelligent Algorithms for Non-parametric Robot Calibration:

Autori
Turković, Marija ; Švaco, Marko ; Jerbić, Bojan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo

Izvornik
Proceedings of the International Conference on Robotics, Computer Vision and Intelligent Systems / Péter, Galambos ; Kurosh, Madani - Budapest, Hungary : SCITEPRESS - Science and Technology Publications, 2020, 51-58

ISBN
978-989-758-479-4

Skup
International Conference on Robotics, Computer Vision and Intelligent Systems

Mjesto i datum
Budimpešta, Mađarska, 4.-6.11. 2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Non-parametric Robot Calibration ; Neural Networks ; Genetic Algorithms ; Robot Precision

Sažetak
In this paper, a novel method for non-parametric robot calibration which uses intelligent algorithms is proposed. The non-parametric calibration should prove very useful, because it does not need to identify the geometric parameters of the robot as is the case in parametric calibration. Instead, only the position measurements need to be provided. This could potentially lead to a cheaper and faster calibration process which could simplify its application on different and unique robot geometries. The biggest issue of using neural networks is that they require a lot of data, while for the process of robot calibration a very limited number of measurements is usually collected. In this experiment, the improvement of the hyperparameters of the neural network was attempted by using the genetic algorithms. Simulations also showed that the parametric optimization converges faster and that feed-forward back- propagating neural networks could not correctly simulate the behaviour of complex robots, or problems which used small datasets. However, for simple robot geometries and massive datasets, the neural network successfully simulated the behaviour of the robot. Although the number of measurements needed was well beyond the scope for real world applications, a few possible improvements were suggested for future research.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Strojarstvo



POVEZANOST RADA


Projekti:
EK-EFRR-KK.01.1.1.02.0008 - Regionalni centar izvrsnosti za robotske tehnologije (CRTA) (Jerbić, Bojan, EK - KK.01.1.1.02) ( POIROT)

Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Marko Švaco (autor)

Avatar Url Bojan Jerbić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Turković, Marija; Švaco, Marko; Jerbić, Bojan
Intelligent Algorithms for Non-parametric Robot Calibration: // Proceedings of the International Conference on Robotics, Computer Vision and Intelligent Systems / Péter, Galambos ; Kurosh, Madani (ur.).
Budapest, Hungary: SCITEPRESS - Science and Technology Publications, 2020. str. 51-58 doi:10.5220/0010176900510058 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)
Turković, M., Švaco, M. & Jerbić, B. (2020) Intelligent Algorithms for Non-parametric Robot Calibration:. U: Péter, G. & Kurosh, M. (ur.)Proceedings of the International Conference on Robotics, Computer Vision and Intelligent Systems doi:10.5220/0010176900510058.
@article{article, year = {2020}, pages = {51-58}, DOI = {10.5220/0010176900510058}, keywords = {Non-parametric Robot Calibration, Neural Networks, Genetic Algorithms, Robot Precision}, doi = {10.5220/0010176900510058}, isbn = {978-989-758-479-4}, title = {Intelligent Algorithms for Non-parametric Robot Calibration:}, keyword = {Non-parametric Robot Calibration, Neural Networks, Genetic Algorithms, Robot Precision}, publisher = {SCITEPRESS - Science and Technology Publications}, publisherplace = {Budimpe\v{s}ta, Ma\djarska} }
@article{article, year = {2020}, pages = {51-58}, DOI = {10.5220/0010176900510058}, keywords = {Non-parametric Robot Calibration, Neural Networks, Genetic Algorithms, Robot Precision}, doi = {10.5220/0010176900510058}, isbn = {978-989-758-479-4}, title = {Intelligent Algorithms for Non-parametric Robot Calibration:}, keyword = {Non-parametric Robot Calibration, Neural Networks, Genetic Algorithms, Robot Precision}, publisher = {SCITEPRESS - Science and Technology Publications}, publisherplace = {Budimpe\v{s}ta, Ma\djarska} }

Citati:





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