Prediction of intent in robotics and multi-agent systems.

Prediction of intent in robotics and multi-agent systems. Research Abstract Details 

Research Abstract Table of Contents

Jump to the:

Prediction of intent in robotics and multi-agent systems. Abstract Text:

Yiannis Demiris,

Moving beyond the stimulus contained in observable agent behaviour, i.e. understanding the underlying intent of the observed agent is of immense interest in a variety of domains that involve collaborative and competitive scenarios, for example assistive robotics, computer games, robot-human interaction, decision support and intelligent tutoring. This review paper examines approaches for performing action recognition and prediction of intent from a multi-disciplinary perspective, in both single robot and multi-agent scenarios, and analyses the underlying challenges, focusing mainly on generative approaches.

Prediction of intent in robotics and multi-agent systems. Publishing Authors By Initials

Y Demiris,

For similar information science: computing methodologies: software research abstracts see: information science: computing methodologies: software research

PUBMED ID PMID:

MEDLINE DATE:

Prediction of intent in robotics and multi-agent systems. Journal Published:

PUBLICATION TYPE: Review

Journal: Cognitive processing

VOLUME: 8

Page Numbers: 151-8

Journal Abbreviation:

ISSN: 1612-4782

DAY: 4

MONTH: 05

YEAR: 2007

Prediction of intent in robotics and multi-agent systems. Information

Number of References: 63

LANGUAGE: eng

NlmUniqueID: 101177984

Prediction of intent in robotics and multi-agent systems. Keywords Mesh Terms:

KEYWORDS: Software

MESH TERMS: physiology

Chemical & Substance for Abstract: Prediction of intent in robotics and multi-agent systems. Information

Substance Name:

Registry Number:

Grant and Affiliation Information for Prediction of intent in robotics and multi-agent systems.

AFFILIATION: Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, Exhibition Road, London, SW7 2BT, UK. y.demiris@imperial.ac.uk

Country: Germany

AGENCY:

GRANT:

ACRONYM:

MEDLINETA: Cogn Process

REFSOURCE:

DATABASENAME:

ACCESSION NUMBER:

Number Hits: 0

Prediction of intent in robotics and multi-agent systems Related Publications

• Electronic home healthcare: concepts and challenges.
• Information technology from novice to expert: implementation implications.
• Prediction of intent in robotics and multi-agent systems.
• Smart homes and ambient assisted living in an aging society. New opportunities and challenges for biomedical informatics.
• User-centered methods for designing patient-centric self-help tools.
• Videophone communication between residents and family: a case study.