Acquiring Knowledge of Object Arrangements from Human Examples for Household Robots

Robots are becoming ever more present in households, interacting more with humans. They are able to perform tasks in an accurate manner, e.g. manipulating objects. However, this manipulation often does not follow the human way to arrange objects. Therefore, robots require semantic knowledge about th...

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Bibliographic Details
Published inKI 2018: Advances in Artificial Intelligence Vol. 11117; pp. 131 - 138
Main Authors Salinas Pinacho, Lisset, Wich, Alexander, Yazdani, Fereshta, Beetz, Michael
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2018
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Online AccessGet full text
ISBN3030001105
9783030001100
ISSN0302-9743
1611-3349
DOI10.1007/978-3-030-00111-7_12

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Summary:Robots are becoming ever more present in households, interacting more with humans. They are able to perform tasks in an accurate manner, e.g. manipulating objects. However, this manipulation often does not follow the human way to arrange objects. Therefore, robots require semantic knowledge about the environment for executing tasks and satisfying humans’ expectations. In this paper, we will introduce a breakfast table setting scenario where a robot acquires information from human demonstrations to arrange objects in a meaningful way. We will show how robots can obtain the necessary amount of knowledge to autonomously perform daily tasks.
ISBN:3030001105
9783030001100
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-030-00111-7_12