dc.contributor.author | Huczala, Daniel | |
dc.contributor.author | Oščádal, Petr | |
dc.contributor.author | Spurný, Tomáš | |
dc.contributor.author | Vysocký, Aleš | |
dc.contributor.author | Vocetka, Michal | |
dc.contributor.author | Bobovský, Zdenko | |
dc.date.accessioned | 2021-01-18T08:04:10Z | |
dc.date.available | 2021-01-18T08:04:10Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Applied Sciences. 2020, vol. 10, issue 21, art. no. 7679. | cs |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | http://hdl.handle.net/10084/142564 | |
dc.description.abstract | Featured Application
A fast and low-cost process for automated identification of positions of workcell components, including robots. Suitable for rapid deployment of robotic applications without a need of previous simulations or CAD modeling.
In this paper, a new method for the calibration of robotic cell components is presented and demonstrated by identification of an industrial robotic manipulator's base and end-effector frames in a workplace. It is based on a mathematical approach using a Jacobian matrix. In addition, using the presented method, identification of other kinematic parameters of a robot is possible. The Universal Robot UR3 was later chosen to prove the working principle in both simulations and experiment, with a simple repeatable low-cost solution for such a task-image analysis to detect tag markers. The results showing the accuracy of the system are included and discussed. | cs |
dc.language.iso | en | cs |
dc.publisher | MDPI | cs |
dc.relation.ispartofseries | Applied Sciences | cs |
dc.relation.uri | http://doi.org/10.3390/app10217679 | cs |
dc.rights | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | cs |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | cs |
dc.subject | robotic manipulator | cs |
dc.subject | identification | cs |
dc.subject | calibration | cs |
dc.subject | Jacobian | cs |
dc.subject | workcell layout detection | cs |
dc.title | Camera-based method for identification of the layout of a robotic workcell | cs |
dc.type | article | cs |
dc.identifier.doi | 10.3390/app10217679 | |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |
dc.description.source | Web of Science | cs |
dc.description.volume | 10 | cs |
dc.description.issue | 21 | cs |
dc.description.firstpage | art. no. 7679 | cs |
dc.identifier.wos | 000588912400001 | |