Visual feedback for humans about robots' perception in collaborative environments

During the last years, major advances on artificial intelligence have successfully allowed robots to perceive their environment, which not only includes static but also dynamic objects such as humans. Indeed, robotic perception is a fundamental feature to achieve safe robots' autonomy in human-...

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Detalles Bibliográficos
Autores: Gassó Loncan, Juan Cruz, Olivares Alarcos, Alberto|||0000-0002-7733-7715, Alenyà Ribas, Guillem|||0000-0002-6018-154X
Tipo de recurso: informe técnico
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/328758
Acceso en línea:https://hdl.handle.net/2117/328758
Access Level:acceso abierto
Palabra clave:Safety
Collaborative robots
Human pose estimation
Human-robot closeness
Classificació INSPEC::Automation::Robots
Àrees temàtiques de la UPC::Informàtica::Robòtica
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network_acronym_str ES
network_name_str España
repository_id_str
spelling Visual feedback for humans about robots' perception in collaborative environmentsGassó Loncan, Juan CruzOlivares Alarcos, Alberto|||0000-0002-7733-7715Alenyà Ribas, Guillem|||0000-0002-6018-154XSafetyCollaborative robotsHuman pose estimationHuman-robot closenessClassificació INSPEC::Automation::RobotsÀrees temàtiques de la UPC::Informàtica::RobòticaDuring the last years, major advances on artificial intelligence have successfully allowed robots to perceive their environment, which not only includes static but also dynamic objects such as humans. Indeed, robotic perception is a fundamental feature to achieve safe robots' autonomy in human-robot collaboration. However, in order to have true collaboration, both robots and humans should perceive each other’s intentions and interpret which actions they are performing. In this work, we developed a visual representation tool that illustrates the robot's perception of the space that is shared with a person. Specifically, we adapted an existent system to estimate the human pose, and we created a visualisation tool to represent the robot's perception about the human-robot closeness. We also performed a first evaluation of the system working in realistic conditions using the Tiago robot and a person as a test subject. This work is a first step towards allowing humans to have a better understanding about robots' perception in collaborative scenarios.Peer Reviewed20202020-07-2020202020-09-15reporthttp://purl.org/coar/resource_type/c_93fcAOhttp://purl.org/coar/version/c_b1a7d7d4d402bcceinfo:eu-repo/semantics/reportapplication/pdfhttps://hdl.handle.net/2117/328758reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3287582026-05-27T15:37:01Z
dc.title.none.fl_str_mv Visual feedback for humans about robots' perception in collaborative environments
title Visual feedback for humans about robots' perception in collaborative environments
spellingShingle Visual feedback for humans about robots' perception in collaborative environments
Gassó Loncan, Juan Cruz
Safety
Collaborative robots
Human pose estimation
Human-robot closeness
Classificació INSPEC::Automation::Robots
Àrees temàtiques de la UPC::Informàtica::Robòtica
title_short Visual feedback for humans about robots' perception in collaborative environments
title_full Visual feedback for humans about robots' perception in collaborative environments
title_fullStr Visual feedback for humans about robots' perception in collaborative environments
title_full_unstemmed Visual feedback for humans about robots' perception in collaborative environments
title_sort Visual feedback for humans about robots' perception in collaborative environments
dc.creator.none.fl_str_mv Gassó Loncan, Juan Cruz
Olivares Alarcos, Alberto|||0000-0002-7733-7715
Alenyà Ribas, Guillem|||0000-0002-6018-154X
author Gassó Loncan, Juan Cruz
author_facet Gassó Loncan, Juan Cruz
Olivares Alarcos, Alberto|||0000-0002-7733-7715
Alenyà Ribas, Guillem|||0000-0002-6018-154X
author_role author
author2 Olivares Alarcos, Alberto|||0000-0002-7733-7715
Alenyà Ribas, Guillem|||0000-0002-6018-154X
author2_role author
author
dc.subject.none.fl_str_mv Safety
Collaborative robots
Human pose estimation
Human-robot closeness
Classificació INSPEC::Automation::Robots
Àrees temàtiques de la UPC::Informàtica::Robòtica
topic Safety
Collaborative robots
Human pose estimation
Human-robot closeness
Classificació INSPEC::Automation::Robots
Àrees temàtiques de la UPC::Informàtica::Robòtica
description During the last years, major advances on artificial intelligence have successfully allowed robots to perceive their environment, which not only includes static but also dynamic objects such as humans. Indeed, robotic perception is a fundamental feature to achieve safe robots' autonomy in human-robot collaboration. However, in order to have true collaboration, both robots and humans should perceive each other’s intentions and interpret which actions they are performing. In this work, we developed a visual representation tool that illustrates the robot's perception of the space that is shared with a person. Specifically, we adapted an existent system to estimate the human pose, and we created a visualisation tool to represent the robot's perception about the human-robot closeness. We also performed a first evaluation of the system working in realistic conditions using the Tiago robot and a person as a test subject. This work is a first step towards allowing humans to have a better understanding about robots' perception in collaborative scenarios.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-07-20
2020
2020-09-15
dc.type.none.fl_str_mv report
http://purl.org/coar/resource_type/c_93fc
AO
http://purl.org/coar/version/c_b1a7d7d4d402bcce
dc.type.openaire.fl_str_mv info:eu-repo/semantics/report
format report
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/328758
url https://hdl.handle.net/2117/328758
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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