Innovative Mobile Manipulator Solution for Modern Flexible Manufacturing Processes

dc.contributor.authorOutón, Jose Luis
dc.contributor.authorVillaverde, Iván
dc.contributor.authorHerrero, Héctor
dc.contributor.authorEsnaola, Urko
dc.contributor.authorSierra, Basilio
dc.contributor.institutionROBOTICA_FLEX
dc.date.issued2019-12-02
dc.descriptionPublisher Copyright: © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
dc.description.abstractThere is a paradigm shift in current manufacturing needs that is causing a change from the current mass-production-based approach to a mass customization approach where production volumes are smaller and more variable. Current processes are very adapted to the previous paradigm and lack the required flexibility to adapt to the new production needs. To solve this problem, an innovative industrial mobile manipulator is presented. The robot is equipped with a variety of sensors that allow it to perceive its surroundings and perform complex tasks in dynamic environments. Following the current needs of the industry, the robot is capable of autonomous navigation, safely avoiding obstacles. It is flexible enough to be able to perform a wide variety of tasks, being the change between tasks done easily thanks to skills-based programming and the ability to change tools autonomously. In addition, its security systems allow it to share the workspace with human operators. This prototype has been developed as part of THOMAS European project, and it has been tested and demonstrated in real-world manufacturing use cases.en
dc.description.statusPeer reviewed
dc.format.extent1
dc.format.extent17368448
dc.identifier.citationOutón , J L , Villaverde , I , Herrero , H , Esnaola , U & Sierra , B 2019 , ' Innovative Mobile Manipulator Solution for Modern Flexible Manufacturing Processes ' , Sensors , vol. 19 , no. 24 , 5414 , pp. 5414 . https://doi.org/10.3390/s19245414
dc.identifier.doi10.3390/s19245414
dc.identifier.issn1424-3210
dc.identifier.otherresearchoutputwizard: 11556/847
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85076416369&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofSensors
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsIndustrial mobile manipulator
dc.subject.keywordsRobotics
dc.subject.keywordsPerception
dc.subject.keywordsSensor fusion
dc.subject.keywordsAutonomous navigation
dc.subject.keywordsSkill-based programming
dc.subject.keywordsIndustry 4.0
dc.subject.keywordsIndustrial mobile manipulator
dc.subject.keywordsRobotics
dc.subject.keywordsPerception
dc.subject.keywordsSensor fusion
dc.subject.keywordsAutonomous navigation
dc.subject.keywordsSkill-based programming
dc.subject.keywordsIndustry 4.0
dc.subject.keywordsAnalytical Chemistry
dc.subject.keywordsInformation Systems
dc.subject.keywordsAtomic and Molecular Physics, and Optics
dc.subject.keywordsBiochemistry
dc.subject.keywordsInstrumentation
dc.subject.keywordsElectrical and Electronic Engineering
dc.subject.keywordsSDG 9 - Industry, Innovation, and Infrastructure
dc.subject.keywordsProject ID
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/723616/EU/Mobile dual arm robotic workers with embedded cognition for hybrid and dynamically reconfigurable manufacturing systems/THOMAS
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/723616/EU/Mobile dual arm robotic workers with embedded cognition for hybrid and dynamically reconfigurable manufacturing systems/THOMAS
dc.subject.keywordsFunding Info
dc.subject.keywordsThis research was funded by the EC research project “THOMAS—Mobile dual arm robotic workers with embedded cognition for hybrid and dynamically reconfigurable manufacturing systems” (Grant Agreement: 723616) (www.thomas-project.eu/).
dc.subject.keywordsThis research was funded by the EC research project “THOMAS—Mobile dual arm robotic workers with embedded cognition for hybrid and dynamically reconfigurable manufacturing systems” (Grant Agreement: 723616) (www.thomas-project.eu/).
dc.titleInnovative Mobile Manipulator Solution for Modern Flexible Manufacturing Processesen
dc.typejournal article
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
sensors-19-05414.pdf
Size:
16.56 MB
Format:
Adobe Portable Document Format