Konferensartikel

Integration of the Humanoid Robot Nao inside a Smart Home: A Case Study

Athanasia Louloudi
School of Science and Technology, Örebro University, Sweden

Ahmed Mosallam
School of Science and Technology, Örebro University, Sweden

Naresh Marturi
School of Science and Technology, Örebro University, Sweden

Pieter Janse
School of Science and Technology, Örebro University, Sweden

Victor Hernandez
School of Science and Technology, Örebro University, Sweden

Ladda ner artikelhttp://www.ep.liu.se/ecp_article/index.en.aspx?issue=048;article=008

Ingår i: The Swedish AI Society Workshop May 20-21; 2010; Uppsala University

Linköping Electronic Conference Proceedings 48:8, s. 35-44

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Publicerad: 2010-05-19

ISBN:

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

This paper presents a case study demonstrating the integration of the humanoid robotic platform Nao within a Network Robot System (NRS) application. The specific scenario of interest takes place in a smart home environment; the task being that of bringing a can of soda from a fridge to a human user. We use this concrete scenario to evaluate how the performance of such a robot can be affected by being embedded inside an intelligent domestic environment. This study points out that; by cooperating with different components on the network the overall performance of the robot is increased.

Nyckelord

Network Robotics Systems; Domestic Robots; Nao robot; Smart home; PEISEcology

Referenser

[1] A. Sanfeliu; N. Hagita; and A. Saffiotti; “Network robot systems;” Robotics and Autonomous Systems;Elsevier 2008; 2008.

[2] N. Kubota and K. Nishida; “Cooperative perceptual systems for partner robots based on sensor network;” IJCSNS; International Journal of Computer Science and Network Security; vol. 6; no. 11; pp. 19–28; 2006.

[3] K. Lynch; I.B.Schwartz; P. Yang; and R. Freeman; “Decentralized environmental modeling by mobile sensor networks;” Robotics; IEEE Transactions on; vol. 24; pp. 710–724; June 2008.

[4] K. Kemmotsu; T. Tomonaka; S. Shiotani; Y. Koketsu; and M. Iehara; “Recognizing human behaviors with vision sensors in a network robot system;” in Proceedings - IEEE International Conference on Robotics and Automation; vol. 2006; (Orlando; FL; United states); pp. 1274 – 1279; 2006.

[5] T. Akimoto and N. Hagita; “Introduction to a network robot system;” in 2006 International Symposium on Intelligent Signal Processing and Communications (IEEE Cat. No.06EX1444); pp. 91 – 4; 2006.

[6] M. Scopelliti; M. Giuliani; A. D’Amico; and F. Fornara; I had a robot at home…Peoples’ representation of domestic robots. In S. Keates; J. Clarkson; P. Langdon and P. Robinson; Designing a more inclusive world. London: Springer Verlag„ 2004.

[7] M. Broxvall; M. Gritti; A. Saffiotti; B. Seo; and Y. Cho; “PEIS ecology: Integrating robots into smart environments;” in Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA); (Orlando; FL); pp. 212–218; 2006. Online at http://www.aass.oru.se/˜asaffio/.

[8] A. Saffiotti and M. Broxvall; “PEIS ecologies: Ambient intelligence meets autonomous robotics;” in Proc of the Int Conf on Smart Objects and Ambient Intelligence (sOc-EUSAI); (Grenoble; France); pp. 275–280; 2005. Online at http://www.aass.oru.se/˜asaffio/.

[9] R. Siegwart and I. R. Nourbakhsh; Introduction to Autonomous Mobile Robots. Bradford Book; 2004.

[10] J. Davis and V. Sharma; “Fusionbased background-subtraction using contour saliency;” in CVPR ’05: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) - Workshops; (Washington; DC; USA); pp. 162 –182; IEEE Computer Society; 2005.

[11] R. Gonzalez and R.E.Woods; Digital Image Processing. Pearson Prentice Hall; 2008.

[12] Don Murray and James J. Little; “Using Real-Time Stereo Vision for Mobile Robot Navigations;” Auton. Robot; vol. 8; no. 2; pp. 161–171; 2000.

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