JACIII Vol.12 No.6 pp. 494-502
doi: 10.20965/jaciii.2008.p0494


Concept of Humatronics and its Application to Human-Robot Communication Support Under TV Watching Environment

Yasufumi Takama, Hiroki Namba, Yoshihiro Iwase, Yuki Muto, and Shunichi Hattori

Graduate School of System Design, Tokyo Metropolitan University
6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan

June 15, 2008
August 30, 2008
November 20, 2008
humatronics, robotics, web intelligence, partner robot, information recommendation

In recent years, various systems based on electronics, such as cars, computers and robots have been getting into our daily life. Unfortunately, asymmetrical relationship exists between human and such systems, imposing burdens especially on elderly or handicapped persons. In order to solve various problems for balancing such asymmetrical relationship, humatronics is proposed. Main purpose of humatronics is to establish the symmetric interaction between human and electronic systems by giving the systems the capability of understanding humans. Another important factor for humatronics is computer networks, over which the systems can share knowledge, information, and experiences. This paper introduces the concept of humatronics and its future direction. A prototype of partner robot system, called HuRoC, is also proposed as an application of humatronics concept. It is expected that the concept of humatronics will progress the related research fields by bringing a new viewpoint.

Cite this article as:
Yasufumi Takama, Hiroki Namba, Yoshihiro Iwase, Yuki Muto, , and Shunichi Hattori, “Concept of Humatronics and its Application to Human-Robot Communication Support Under TV Watching Environment,” J. Adv. Comput. Intell. Intell. Inform., Vol.12, No.6, pp. 494-502, 2008.
Data files:

    [1] N. Ando, T. Suehiro, K. Kitagaki, T. Kotoku, and W. Yoon, “RT-Component Object Model in RT-Middleware – Distributed Component Middleware for RT (Robot Technology) –,” 2005 IEEE Int. Symposium on Computational Intelligence in Robotics and Automation (CIRA2005), We-B2-5, 2005.
    [2] N. Ando, T. Suehiro, K. Kitagaki, T. Kotoku, and W. Yoon, “RT-Middleware: Distributed Component Middleware for RT (Robot Technology),” 2005 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS2005), pp. 3555-3560, 2005.
    [3] R. Baeza-Yates and B. Riberiro-Neto, Modern Information Retrieval, ACM Press, Essex, 1999.
    [4] M. Imai, Y. Hirota, S. Satake, and H. Kawashima, “Semantic Sensor Network for Physically Grounded Applications,” ICARCV2006, P1493, 2006.
    [5] K. Kobayashi and S. Yamada, “Human-Robot Cooperation with Commands Embedded in Actions,” Trans. Japanese Society for Artificial Intelligence, Vol.21, No.1, pp. 63-72, 2006 (in Japanese).
    [6] H. Kozima and H. Yano, “Designing a robot for contingency-detection game,” Int. workshop on robotic and virtual agents in autism therapy, 2001.
    [7] N. Kubota, “Imitative Learning for Social Robotics Based on Computational Intelligence,” Proc. of the Thirteenth Yale Workshop on Adaptive and Learning Systems, pp. 195-200, 2005.
    [8] J. Lee, N. Ando, and H. Hashimoto, “Mobile Robot Architecture in Intelligent Space,” JSME Journal of Robotics and Mechatronics, Vol.11, No.2, pp. 165-170, 1999.
    [9] N. Matsuhira and H. Ogawa, “Trends in Development of Home Robots Leading Advanced Technologies,” Toshiba Review, Vol.59, No.9, 2004 (in Japanese).
    [10] Ministry of Economy, “Trade and Industry,” Report of Working group on robot policy,, 2006 (in Japanese).
    [11] Y. Muto, Y. Iwase, S. Hattori, K. Hirota, and Y. Takama, “Web Intelligence Approach for Human Robot Communication under TV Watching Environment,” SCIS&ISIS2006, pp. 426-429, 2006.
    [12] Y. Nagai, K. Hosoda, A. Morita, and M. Asada, “A constructive model for the development of joint attention,” Connection Science, Vol.15, No.4, pp. 211-229, 2003.
    [13] M. Narita and M. Shimamura, “A Report on RSi (Robot Service Initiative) Activities,” 2005 IEEE Workshop on Advanced Robotics and its Social Impacts, pp. 265-268, 2005.
    [14] T. B. Passin, “Explorer's Guide to the Semantic Web, Manning Publications Co,” Greenwich, 2004.
    [15] H. Polat and W. Du, “Privacy-Preserving Top-N Recommendation on Horizontally Partitioned Data,” Proc. of 2005 IEEE/WIC/ACM Int. Conf. on Web Intelligence (WI'05), pp. 725-731, 2005.
    [16] H. Prendinger and M. Ishizuka Eds., “Life-Like Characters. Tools, Affective Functions, and Applications,” Springer, 2004.
    [17] J. Raskin, “The Humane Interface: New Directions for Designing Interactive Systems,” Addison-Wesley Professional, 2000.
    [18] J. Rasmussen, “Skill, Rule, and Knowledge; Signals, Signs and Symbols and Other Distinctions in Human Performance Models,” IEEE Trans. on Systems, Man, and Cybernetics, Vol.13, No.3, pp. 257-266, 1983.
    [19] T. Shibata, “An Overview of Human Interactive Robot for Psychological Enrichment,” Proc. of the IEEE, Vol.92, No.11, pp. 1749-1758, 2004.
    [20] Y. Takama and S. Hattori, “Mining Association Rules for Adaptive Search Engine Based on RDF Technology,” IEEE Transaction on Industrial Electronics, Vol.54, No.2, pp. 790-796, 2007.
    [21] V. S. Verykios, E. Bertino, I. N. Fovino, L. P. Provenza, Y. Saygin, and Y. Theodoridis, ”State-of-the art in Privacy Preserving Data Mining,” ACM SIGMOD Record, Vol.3, No.1, pp. 50-57, 2004.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Mar. 05, 2021