MIRA: A Learning Multimodal Interactive Robot Agent

John C. Murray; Stefan Wermter; Michael Knowles

doi:10.1109/HIS.2008.137

MIRA: A Learning Multimodal Interactive Robot Agent

John C. Murray, Stefan Wermter, Michael Knowles

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

In this paper we present a robotic head MIRA (Multimodal Interactive Robot Agent) which has been developed for studying the learning of human robot interaction and improving our understanding of human robot interaction techniques. In this paper we focus on two main aspects of the system; first, we describe how the robot head learns to recognise faces for supporting the interaction process between a human and MIRA. Second, we show how MIRA can learn to identify sound sources of interest and attend to the source location improving the social interaction effect. We propose that there is substantial potential for learning visual and auditory features in order to increase adaptability and robustness of robotic heads.

Original language	English
Title of host publication	Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008
Publisher	IEEE
Pages	947-950
Number of pages	4
ISBN (Electronic)	9780769533261
DOIs	https://doi.org/10.1109/HIS.2008.137
Publication status	Published - 19 Sept 2008
Externally published	Yes
Event	8th International Conference on Hybrid Intelligent Systems - Barcelona, Spain Duration: 10 Sept 2008 → 12 Sept 2008 https://ieeexplore.ieee.org/xpl/conhome/4626579/proceeding

Conference

Conference	8th International Conference on Hybrid Intelligent Systems
Abbreviated title	HIS 2008
Country/Territory	Spain
City	Barcelona
Period	10/09/08 → 12/09/08
Internet address	https://ieeexplore.ieee.org/xpl/conhome/4626579/proceeding

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10.1109/HIS.2008.137Licence: Unspecified

Cite this

@inproceedings{d060c574ddac45dfac55e89e6d3ccca5,

title = "MIRA: A Learning Multimodal Interactive Robot Agent",

abstract = "In this paper we present a robotic head MIRA (Multimodal Interactive Robot Agent) which has been developed for studying the learning of human robot interaction and improving our understanding of human robot interaction techniques. In this paper we focus on two main aspects of the system; first, we describe how the robot head learns to recognise faces for supporting the interaction process between a human and MIRA. Second, we show how MIRA can learn to identify sound sources of interest and attend to the source location improving the social interaction effect. We propose that there is substantial potential for learning visual and auditory features in order to increase adaptability and robustness of robotic heads.",

keywords = "Robots, Face recognition, Feature extraction, Data mining, Humans, Visualization, Artificial neural networks",

author = "Murray, \{John C.\} and Stefan Wermter and Michael Knowles",

year = "2008",

month = sep,

day = "19",

doi = "10.1109/HIS.2008.137",

language = "English",

pages = "947--950",

booktitle = "Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008",

publisher = "IEEE",

address = "United States",

note = "8th International Conference on Hybrid Intelligent Systems, HIS 2008 ; Conference date: 10-09-2008 Through 12-09-2008",

url = "https://ieeexplore.ieee.org/xpl/conhome/4626579/proceeding",

}

TY - GEN

T1 - MIRA

T2 - 8th International Conference on Hybrid Intelligent Systems

AU - Murray, John C.

AU - Wermter, Stefan

AU - Knowles, Michael

PY - 2008/9/19

Y1 - 2008/9/19

N2 - In this paper we present a robotic head MIRA (Multimodal Interactive Robot Agent) which has been developed for studying the learning of human robot interaction and improving our understanding of human robot interaction techniques. In this paper we focus on two main aspects of the system; first, we describe how the robot head learns to recognise faces for supporting the interaction process between a human and MIRA. Second, we show how MIRA can learn to identify sound sources of interest and attend to the source location improving the social interaction effect. We propose that there is substantial potential for learning visual and auditory features in order to increase adaptability and robustness of robotic heads.

AB - In this paper we present a robotic head MIRA (Multimodal Interactive Robot Agent) which has been developed for studying the learning of human robot interaction and improving our understanding of human robot interaction techniques. In this paper we focus on two main aspects of the system; first, we describe how the robot head learns to recognise faces for supporting the interaction process between a human and MIRA. Second, we show how MIRA can learn to identify sound sources of interest and attend to the source location improving the social interaction effect. We propose that there is substantial potential for learning visual and auditory features in order to increase adaptability and robustness of robotic heads.

KW - Robots

KW - Face recognition

KW - Feature extraction

KW - Data mining

KW - Humans

KW - Visualization

KW - Artificial neural networks

UR - https://www.scopus.com/pages/publications/55349115430

U2 - 10.1109/HIS.2008.137

DO - 10.1109/HIS.2008.137

M3 - Conference contribution

AN - SCOPUS:55349115430

SP - 947

EP - 950

BT - Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008

PB - IEEE

Y2 - 10 September 2008 through 12 September 2008

ER -

MIRA: A Learning Multimodal Interactive Robot Agent

Abstract

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