Environment-type robot system "RoboticRoom" featured by behavior media, behavior contents, and behavior adaptation

This paper proposes a concept of "Robotic Room" of the environment-type robot system for human service and describes the feasibility of novel functions by constructed three prototype robot systems taking account of the features of the environment-type robot system. The features are: 1) a spatial system; 2) a human-robot symbiosis system; and 3) a distributed system. Novel functions of the Robotic Room based on the research fields of a) Behavior Media and b) Behavior Contents and Behavior Adaptation is revealed by constructed prototype system of "Robotic Room 1 (Robotic Sick Room)," "Robotic Room 2 (Sensing Room)," and "Robotic Room 3," taking account of the stated features of the systems.

[1]  Barry Brumitt,et al.  EasyLiving: Technologies for Intelligent Environments , 2000, HUC.

[2]  Tomomasa Sato,et al.  Sensor pillow system: monitoring respiration and body movement in sleep , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).

[3]  Tomomasa Sato,et al.  Development of robotic kitchen counter: kitchen counter equipped with sensors and actuator for action-adapted and personally fit assistance , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[4]  I.A. Essa,et al.  Ubiquitous sensing for smart and aware environments , 2000, IEEE Wirel. Commun..

[5]  Tomomasa Sato,et al.  Producing animal-likeness on artifacts and analyzing its effect on human behavioral attitudes , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

[6]  Rui Fukui,et al.  Expression method of human locomotion records for path planning and control of human-symbiotic robot system based on special existence probability model of humans , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[7]  Tomomasa Sato,et al.  Construction of sensor network system for human behavior measurement and accumulation via distributed objects , 2001, SPIE Optics East.

[8]  Tomomasa Sato,et al.  Human motion tracking system based on skeleton and surface integration model using pressure sensors distribution bed , 2000, Proceedings Workshop on Human Motion.

[9]  T. Nakata,et al.  Expression of Emotion and Intention by Robot Body Movement , 1998 .

[10]  Tomomasa Sato,et al.  One-room-type sensing system for recognition and accumulation of human behavior , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).

[11]  Michael C. Mozer,et al.  The Neural Network House: An Environment that Adapts to its Inhabitants , 1998 .

[12]  Hideki Hashimoto,et al.  Design policy of intelligent space , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[13]  Hiroshi Mizoguchi,et al.  Monitoring patient respiration and posture using human symbiosis system , 1997, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97.

[14]  Takashi Suehiro,et al.  Sensorized environment for self-communication based on observation of daily human behavior , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).

[15]  Hiroshi Noguchi,et al.  Accumulation and summarization of human daily action data in one-room-type sensing system , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[16]  Hiroshi Mizoguchi,et al.  Robotic room: Symbiosis with human through behavior media , 1996, Robotics Auton. Syst..