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Editorial for the Special Issue Recognition Robotics

dc.contributor.authorMartínez Otzeta, José María
dc.date.accessioned2023-11-23T17:00:45Z
dc.date.available2023-11-23T17:00:45Z
dc.date.issued2023-10-17
dc.identifier.citationSensors 23(20 : (2023) // Article ID 8515es_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10810/63134
dc.description.abstractPerception of the environment is an essential skill for robotic applications that interact with their surroundings. Alongside perception often comes the ability to recognize objects, people, or dynamic situations. This skill is of paramount importance in many use cases, from industrial to social robotics.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleEditorial for the Special Issue Recognition Roboticses_ES
dc.typeinfo:eu-repo/semantics/otheres_ES
dc.date.updated2023-10-27T12:57:57Z
dc.rights.holder© 2023 by the author. 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 (https://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/23/20/8515es_ES
dc.identifier.doi10.3390/s23208515
dc.departamentoesCiencia de la computación e inteligencia artificial
dc.departamentoeuKonputazio zientziak eta adimen artifiziala


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© 2023 by the author. 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 (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as © 2023 by the author. 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 (https://creativecommons.org/licenses/by/4.0/).