Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction

Stefan Heinrich; Pascal Folleher; Peer Springstübe; Erik Strahl; Johannes Twiefel; Cornelius Weber; Stefan Wermter

doi:10.1007/978-3-642-37835-5_70

Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction

Stefan Heinrich, Pascal Folleher, Peer Springstübe, Erik Strahl, Johannes Twiefel, Cornelius Weber, Stefan Wermter

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

The development of humanoid robots for helping humans as well as for understanding the human cognitive system is of significant interest in science and technology. How to bridge the large gap between the needs of a natural human-robot interaction and the capabilities of recent humanoid platforms is an important but open question. In this paper we describe a system to teach a robot, based on a dialogue in natural language about its real environment in real time. For this, we integrate a fast object recognition method for the NAO humanoid robot and a hybrid ensemble learning mechanism. With a qualitative analysis we show the effectiveness of our system.

Originalsprog	Engelsk
Titel	Proceedings of the 2012 IEEE First International Conference on Cognitive Systems and Information Processing (CSIP2012)
Redaktører	Fuchun Sun, Dewen Hu, Huaping Liu
Antal sider	9
Vol/bind	215
Forlag	Springer
Publikationsdato	1 dec. 2012
Sider	811-819
DOI	https://doi.org/10.1007/978-3-642-37835-5_70
Status	Udgivet - 1 dec. 2012
Udgivet eksternt	Ja

Navn	Advances in Intelligent Systems and Computing

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10.1007/978-3-642-37835-5_70

https://stefanheinrich.net/files/2014_PHRI_CSIP.pdf

Citationsformater

Heinrich, S., Folleher, P., Springstübe, P., Strahl, E., Twiefel, J., Weber, C., & Wermter, S. (2012). Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction. I F. Sun, D. Hu, & H. Liu (red.), Proceedings of the 2012 IEEE First International Conference on Cognitive Systems and Information Processing (CSIP2012) (Bind 215, s. 811-819). Springer. https://doi.org/10.1007/978-3-642-37835-5_70

Heinrich, Stefan ; Folleher, Pascal ; Springstübe, Peer et al. / Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction. Proceedings of the 2012 IEEE First International Conference on Cognitive Systems and Information Processing (CSIP2012). red. / Fuchun Sun ; Dewen Hu ; Huaping Liu. Bind 215 Springer, 2012. s. 811-819 (Advances in Intelligent Systems and Computing).

@inproceedings{3911520bc282430aa131beb91acd95ab,

title = "Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction",

abstract = "The development of humanoid robots for helping humans as well as for understanding the human cognitive system is of significant interest in science and technology. How to bridge the large gap between the needs of a natural human-robot interaction and the capabilities of recent humanoid platforms is an important but open question. In this paper we describe a system to teach a robot, based on a dialogue in natural language about its real environment in real time. For this, we integrate a fast object recognition method for the NAO humanoid robot and a hybrid ensemble learning mechanism. With a qualitative analysis we show the effectiveness of our system.",

keywords = "Human-Robot Interaction, Ensemble Learning, Language",

author = "Stefan Heinrich and Pascal Folleher and Peer Springst{\"u}be and Erik Strahl and Johannes Twiefel and Cornelius Weber and Stefan Wermter",

year = "2012",

month = dec,

day = "1",

doi = "10.1007/978-3-642-37835-5_70",

language = "English",

volume = "215",

series = "Advances in Intelligent Systems and Computing",

pages = "811--819",

editor = "Fuchun Sun and Dewen Hu and Huaping Liu",

booktitle = "Proceedings of the 2012 IEEE First International Conference on Cognitive Systems and Information Processing (CSIP2012)",

publisher = "Springer",

address = "Germany",

}

Heinrich, S, Folleher, P, Springstübe, P, Strahl, E, Twiefel, J, Weber, C & Wermter, S 2012, Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction. i F Sun, D Hu & H Liu (red), Proceedings of the 2012 IEEE First International Conference on Cognitive Systems and Information Processing (CSIP2012). bind 215, Springer, Advances in Intelligent Systems and Computing, s. 811-819. https://doi.org/10.1007/978-3-642-37835-5_70

Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction. / Heinrich, Stefan; Folleher, Pascal; Springstübe, Peer et al.
Proceedings of the 2012 IEEE First International Conference on Cognitive Systems and Information Processing (CSIP2012). red. / Fuchun Sun; Dewen Hu; Huaping Liu. Bind 215 Springer, 2012. s. 811-819 (Advances in Intelligent Systems and Computing).

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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AU - Heinrich, Stefan

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AU - Springstübe, Peer

AU - Strahl, Erik

AU - Twiefel, Johannes

AU - Weber, Cornelius

AU - Wermter, Stefan

PY - 2012/12/1

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N2 - The development of humanoid robots for helping humans as well as for understanding the human cognitive system is of significant interest in science and technology. How to bridge the large gap between the needs of a natural human-robot interaction and the capabilities of recent humanoid platforms is an important but open question. In this paper we describe a system to teach a robot, based on a dialogue in natural language about its real environment in real time. For this, we integrate a fast object recognition method for the NAO humanoid robot and a hybrid ensemble learning mechanism. With a qualitative analysis we show the effectiveness of our system.

AB - The development of humanoid robots for helping humans as well as for understanding the human cognitive system is of significant interest in science and technology. How to bridge the large gap between the needs of a natural human-robot interaction and the capabilities of recent humanoid platforms is an important but open question. In this paper we describe a system to teach a robot, based on a dialogue in natural language about its real environment in real time. For this, we integrate a fast object recognition method for the NAO humanoid robot and a hybrid ensemble learning mechanism. With a qualitative analysis we show the effectiveness of our system.

KW - Human-Robot Interaction

KW - Ensemble Learning

KW - Language

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Heinrich S, Folleher P, Springstübe P, Strahl E, Twiefel J, Weber C et al. Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction. I Sun F, Hu D, Liu H, red., Proceedings of the 2012 IEEE First International Conference on Cognitive Systems and Information Processing (CSIP2012). Bind 215. Springer. 2012. s. 811-819. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-642-37835-5_70

Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction

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