Introduction of Humatronics--Towards Integration of Web Intelligence and Robotics

In recent years, various systems based on electronics, such as cars, computers and robots have been getting into our daily lives. 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 key technologies for realizing it. A prototype system that is currently developed based on the concept of humatronics is also introduced.

[1]  Mitsuru Ishizuka,et al.  Life-like characters - tools, affective functions, and applications , 2004, Life-like characters.

[2]  Nitin H. Vaidya,et al.  A vehicle-to-vehicle communication protocol for cooperative collision warning , 2004, The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004. MOBIQUITOUS 2004..

[3]  Jens Rasmussen,et al.  Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[4]  Takashi Suehiro,et al.  RT-middleware: distributed component middleware for RT (robot technology) , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[5]  Wenliang Du,et al.  Privacy-preserving top-N recommendation on horizontally partitioned data , 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).

[6]  Yasufumi Takama,et al.  Application of Association Rules to User Preference Mining from TV Watching Log and Social Bookmarks , 2006 .

[7]  Hideyuki Kawashima,et al.  Semantic Sensor Network for Physically Grounded Applications , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[8]  Takashi Suehiro,et al.  RT-Component Object Model in RT-Middleware - Distributed Component Middleware for RT (Robot Technology) , 2005, CIRA.

[9]  Hideki Hashimoto,et al.  Mobile Robot Architecture in Intelligent Space , 1999, J. Robotics Mechatronics.

[10]  Seiji Yamada,et al.  Human-Robot Cooperation with Commands Embedded in Actions , 2006 .

[11]  M. Narita,et al.  A report on RSi (robot services initiative) activities , 2005, IEEE Workshop on Advanced Robotics and its Social Impacts, 2005..

[12]  Jon Trinder,et al.  The Humane Interface: New Directions for Designing Interactive Systems , 2002, Interact. Learn. Environ..

[13]  Yasufumi Takama,et al.  Mentality Expression in Affinity Pleasure-Arousal Space using Ocular and Eyelid Motion of Eye Robot , 2006 .

[14]  Elisa Bertino,et al.  State-of-the-art in privacy preserving data mining , 2004, SGMD.

[15]  Takanori Shibata,et al.  An overview of human interactive robots for psychological enrichment , 2004, Proceedings of the IEEE.

[16]  Yasufumi Takama,et al.  Web Intelligence Approach for Human Robot Communication under TV Watching Environment , 2006 .

[17]  Thomas B. Passin,et al.  Explorer's guide to the semantic web , 2004 .

[18]  Takayuki Nakata,et al.  Mining traffic data from probe-car system for travel time prediction , 2004, KDD.

[19]  Minoru Asada,et al.  A constructive model for the development of joint attention , 2003, Connect. Sci..

[20]  H. Vos.  Trade and Industry , 1946 .

[21]  Mitsuru Ishizuka,et al.  Life-Like Characters , 2004, Cognitive Technologies.