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Collision avoidance system with obstacles and humans to collaborative robots arms based on RGB-D data

dc.contributor.authorBrito, Thadeu
dc.contributor.authorLima, José
dc.contributor.authorCosta, Pedro
dc.contributor.authorMatellán, Vicente
dc.contributor.authorBraun, João
dc.date.accessioned2020-03-13T17:07:46Z
dc.date.available2020-03-13T17:07:46Z
dc.date.issued2020
dc.description.abstractThe collaboration between humans and machines, where humans can share the same work environment without safety equipment due to the collision avoidance characteristic is one of the research topics for the Industry 4.0. This work proposes a system that acquires the space of the environment through an RGB-Depth sensor, verifies the free spaces in the created Point Cloud and executes the trajectory of the collaborative manipulator avoiding collisions. It is demonstrated a simulated environment before the system in real situations, in which the movements of pick-and-place tasks are defined, diverting from virtual obstacles with the RGB-Depth sensor. It is possible to apply this system in real situations with obstacles and humans, due to the results obtained in the simulation. The basic structure of the system is supported by the ROS software, in particular, the Movelt! and Rviz. These tools serve both for simulations and for real applications. The obtained results allow to validate the system using the algorithms PRM and RRT, chosen for being commonly used in the field of robot path planning.pt_PT
dc.description.sponsorshipThis work has been partially funded by Junta de Castilla y León and FEDER funds, under Research Grant No. LE028P17 and by "Ministerio de Ciencia, Innovación y Universidades" of the Kingdom of Spain through grant RTI2018-100683- B-I00.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBrito, Thadeu; Lima, José; Costa, Pedro; Matellán, Vicente; Braun, João (2020). Collision avoidance system with obstacles and humans to collaborative robots arms based on RGB-D data. In 4th Iberian Robotics Conference, ROBOT 2019; Porto. p. 331-342. ISBN 978-3-030-35989-8
dc.identifier.doi10.1007/978-3-030-35990-4_27pt_PT
dc.identifier.isbn978-3-030-35989-8
dc.identifier.urihttp://hdl.handle.net/10198/20991
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectCollaborative robotspt_PT
dc.subjectManipulator path planningpt_PT
dc.subjectCollision avoidancept_PT
dc.subjectRGB-Dpt_PT
dc.titleCollision avoidance system with obstacles and humans to collaborative robots arms based on RGB-D datapt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.endPage342pt_PT
oaire.citation.startPage331pt_PT
oaire.citation.volume1092pt_PT
person.familyNameBrito
person.familyNameLima
person.familyNameBraun
person.givenNameThadeu
person.givenNameJosé
person.givenNameJoão A.
person.identifierBjSISEAAAAAJ
person.identifierR-000-8GD
person.identifier.ciencia-idC911-A95D-712F
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-idBF13-D66B-7D08
person.identifier.orcid0000-0002-5962-0517
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0003-0276-4314
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57200694948
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id57211244317
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublicationb8dfcbd7-1b89-48f3-afee-3e7d3f3c90d4
relation.isAuthorOfPublication.latestForDiscoveryc8641c9a-a994-4ab2-836d-c758c0e44cc9

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