Long Term Learning and Online Robot Behavior Adaptation for Individuals with Physical and Cognitive Impairments

Adriana Tapus; Cristian Tapus; Maja Matarić

doi:10.1007/978-3-642-13408-1_35

Long Term Learning and Online Robot Behavior Adaptation for Individuals with Physical and Cognitive Impairments

Adriana Tapus, Cristian Tapus, Maja Matarić

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we present an online adaptation approach and a long-term learning approach for socially assistive robotic (SAR) systems that aim to provide customized help protocols through motivation, encouragements, and companionship to users suffering from physical and/or cognitive changes related to stroke, aging and Alzheimer’s disease.

Original language	English
Pages (from-to)	389-398
Number of pages	10
Journal	Springer Tracts in Advanced Robotics
Volume	62
DOIs	https://doi.org/10.1007/978-3-642-13408-1_35
Publication status	Published - 1 Jan 2010

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title = "Long Term Learning and Online Robot Behavior Adaptation for Individuals with Physical and Cognitive Impairments",

abstract = "In this paper, we present an online adaptation approach and a long-term learning approach for socially assistive robotic (SAR) systems that aim to provide customized help protocols through motivation, encouragements, and companionship to users suffering from physical and/or cognitive changes related to stroke, aging and Alzheimer{\textquoteright}s disease.",

author = "Adriana Tapus and Cristian Tapus and Maja Matari{\'c}",

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AU - Tapus, Adriana

AU - Tapus, Cristian

AU - Matarić, Maja

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2010.

PY - 2010/1/1

Y1 - 2010/1/1

N2 - In this paper, we present an online adaptation approach and a long-term learning approach for socially assistive robotic (SAR) systems that aim to provide customized help protocols through motivation, encouragements, and companionship to users suffering from physical and/or cognitive changes related to stroke, aging and Alzheimer’s disease.

AB - In this paper, we present an online adaptation approach and a long-term learning approach for socially assistive robotic (SAR) systems that aim to provide customized help protocols through motivation, encouragements, and companionship to users suffering from physical and/or cognitive changes related to stroke, aging and Alzheimer’s disease.

U2 - 10.1007/978-3-642-13408-1_35

DO - 10.1007/978-3-642-13408-1_35

M3 - Article

AN - SCOPUS:84929463881

SN - 1610-7438

VL - 62

SP - 389

EP - 398

JO - Springer Tracts in Advanced Robotics

JF - Springer Tracts in Advanced Robotics

ER -

Long Term Learning and Online Robot Behavior Adaptation for Individuals with Physical and Cognitive Impairments

Abstract

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