Purposive learning: Robot reasoning about the meanings of human activities.


Journal

Science robotics
ISSN: 2470-9476
Titre abrégé: Sci Robot
Pays: United States
ID NLM: 101733136

Informations de publication

Date de publication:
16 01 2019
Historique:
received: 20 08 2018
accepted: 21 11 2018
entrez: 2 11 2020
pubmed: 16 1 2019
medline: 16 1 2019
Statut: ppublish

Résumé

Reasoning about the meanings of human activities is a powerful way for robots to learn from humans.

Identifiants

pubmed: 33137756
pii: 4/26/eaav1530
doi: 10.1126/scirobotics.aav1530
pii:
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Auteurs

Gordon Cheng (G)

Institute for Cognitive Systems, Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstrasse 21, 80333 München, Germany. gordon@tum.de.

Karinne Ramirez-Amaro (K)

Institute for Cognitive Systems, Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstrasse 21, 80333 München, Germany.

Michael Beetz (M)

Institute for Artificial Intelligence, University of Bremen, Am Fallturm 1, 28359 Bremen, Germany.

Yasuo Kuniyoshi (Y)

School of Information Science and Technology and Next Generation Artificial Intelligence Research Center, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.

Classifications MeSH