Using mediator objects to easily and robustly teach visual objects to a robot
Author(s) -
Pierre Rouanet,
PierreYves Oudeyer,
David Filliat
Publication year - 2010
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/1836845.1836952
Subject(s) - robot , computer science , perception , focus (optics) , human–computer interaction , quality (philosophy) , interface (matter) , artificial intelligence , psychology , epistemology , philosophy , physics , bubble , neuroscience , maximum bubble pressure method , parallel computing , optics
Social robots are drawing an increasing interest both in scientific and economic communities and one of the main issues is the need to provide these robots with the ability to interact easily and naturally with humans. We believe that the interaction issues may have a very strong impact on the whole system and should be given more attention. Current research however focus mainly on the the visual perception and/or machine learning issues (see for example Steels and Kaplan [1]). We think that by focusing on the users and on the interface we can help them provide the learning system with very high quality learning examples.
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