Editorial: Computational Models of Affordance for Robotics - Sorbonne Université Access content directly
Journal Articles Frontiers in Neurorobotics Year : 2022

Editorial: Computational Models of Affordance for Robotics

Erwan Renaudo
Universität Innsbruck [Innsbruck]
Philipp Zech
  • Function : Author
  • PersonId : 1166191
Universität Innsbruck [Innsbruck]
Raja Chatila
Institut des Systèmes Intelligents et de Robotique
Mehdi Khamassi
Institut des Systèmes Intelligents et de Robotique
CV

Domains

Automatic Artificial Intelligence [cs.AI] Psychology
Fichier principal
Vignette du fichier
fnbot-16-1045355.pdf (131.69 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Mehdi Khamassi  : Connect in order to contact the contributor

https://hal.sorbonne-universite.fr/hal-03782365

Submitted on : Thursday, October 6, 2022-8:42:30 AM

Last modification on : Friday, March 24, 2023-2:53:28 PM

Long-term archiving on: Saturday, January 7, 2023-6:16:07 PM

Download

Dates and versions

hal-03782365 , version 1 (06-10-2022)

Licence

Attribution

Identifiers

Cite

Erwan Renaudo, Philipp Zech, Raja Chatila, Mehdi Khamassi. Editorial: Computational Models of Affordance for Robotics. Frontiers in Neurorobotics, 2022, 16, pp.1045355. ⟨10.3389/fnbot.2022.1045355⟩. ⟨hal-03782365⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

CNRS ISIR TDS-MACS SORBONNE-UNIVERSITE SU-SCIENCES ANR ISIR_AMAC
48 View
73 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More