dc.contributor.author | Outón, Jose Luis | |
dc.contributor.author | Merino, Ibon | |
dc.contributor.author | Villaverde, Iván | |
dc.contributor.author | Ibarguren, Aitor | |
dc.contributor.author | Herrero, Héctor | |
dc.contributor.author | Daelman, Paul | |
dc.contributor.author | Sierra, Basilio | |
dc.date.accessioned | 2021-06-14T08:55:21Z | |
dc.date.available | 2021-06-14T08:55:21Z | |
dc.date.issued | 2021-05-27 | |
dc.identifier.citation | Outón, Jose Luis, Ibon Merino, Iván Villaverde, Aitor Ibarguren, Héctor Herrero, Paul Daelman, and Basilio Sierra. “A Real Application of an Autonomous Industrial Mobile Manipulator Within Industrial Context.” Electronics 10, no. 11 (May 27, 2021): 1276. doi:10.3390/electronics10111276. | en |
dc.identifier.uri | http://hdl.handle.net/11556/1145 | |
dc.description.abstract | In modern industry there are still a large number of low added-value processes that
can be automated or semi-automated with safe cooperation between robot and human operators.
The European SHERLOCK project aims to integrate an autonomous industrial mobile manipulator
(AIMM) to perform cooperative tasks between a robot and a human. To be able to do this, AIMMs
need to have a variety of advanced cognitive skills like autonomous navigation, smart perception
and task management. In this paper, we report the project’s tackle in a paradigmatic industrial
application combining accurate autonomous navigation with deep learning-based 3D perception for
pose estimation to locate and manipulate different industrial objects in an unstructured environment.
The proposed method presents a combination of different technologies fused in an AIMM that
achieve the proposed objective with a success rate of 83.33% in tests carried out in a real environment. | en |
dc.description.sponsorship | This research was funded by EC research project “SHERLOCK—Seamless and safe humancentered robotic applications for novel collaborative workplace”. Grant number: 820689 (https://www.sherlock-project.eu accessed on 12 March 2021). | en |
dc.language.iso | eng | en |
dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | en |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | A Real Application of an Autonomous Industrial Mobile Manipulator within Industrial Context | en |
dc.type | journal article | en |
dc.identifier.doi | 10.3390/electronics10111276 | en |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/820689/EU/Seamless and safe human centred robotic applications for novel collaborative workplaces/SHERLOCK | en |
dc.rights.accessRights | open access | en |
dc.subject.keywords | Autonomous industrial mobile manipulator | en |
dc.subject.keywords | Deep learning | en |
dc.subject.keywords | Robotics | en |
dc.subject.keywords | Perception | en |
dc.subject.keywords | Sensor fusion | en |
dc.subject.keywords | Autonomous navigation | en |
dc.subject.keywords | Computer vision | en |
dc.subject.keywords | Skills | en |
dc.subject.keywords | State machine | en |
dc.identifier.essn | 2079-9292 | en |
dc.issue.number | 11 | en |
dc.journal.title | Electronics | en |
dc.page.initial | 1276 | en |
dc.volume.number | 10 | en |