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International Journal of Social Robotics

, Volume 3, Issue 1, pp 27–40 | Cite as

Field Trial of a Networked Robot at a Train Station

  • Masahiro ShiomiEmail author
  • Daisuke Sakamoto
  • Takayuki Kanda
  • Carlos Toshinori Ishi
  • Hiroshi Ishiguro
  • Norihiro Hagita
Article

Abstract

We developed a networked robot system in which ubiquitous sensors support robot sensing and a human operator processes the robot’s decisions during interaction. To achieve semi-autonomous operation for a communication robot functioning in real environments, we developed an operator-requesting mechanism that enables the robot to detect situations that it cannot handle autonomously. Therefore, a human operator helps by assuming control with minimum effort. The robot system consists of a humanoid robot, floor sensors, cameras, and a sound-level meter. For helping people in real environments, we implemented such basic communicative behaviors as greetings and route guidance in the robot and conducted a field trial at a train station to investigate the robot system’s effectiveness. The results attest to the high acceptability of the robot system in a public space and also show that the operator-requesting mechanism correctly requested help in 84.7% of the necessary situations; the operator only had to control 25% of the experiment time in the semi-autonomous mode with a robot system that successfully guided 68% of the visitors.

Keywords

Networked robot Semi-autonomous communication robot Field trial 

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References

  1. 1.
    Breazeal C, Scassellati B (2000) Infant-like social interactions between a robot and a human caretaker. Adapt Behav 8(1):49–74 CrossRefGoogle Scholar
  2. 2.
    Mutlu B, Yamaoka F, Kanda T, Ishiguro H, Hagita N (2009) Nonverbal leakage in robots: communication of intentions through seemingly unintentional behavior. In: 4th ACM/IEEE international conference on human-robot interaction (HRI2009), pp. 69–76 Google Scholar
  3. 3.
    Kuzuoka H et al (2010) Reconfiguring spatial formation arrangement by robot body orientation. In: 5th ACM/IEEE international conference on human-robot interaction (HRI2010), pp. 285–292 Google Scholar
  4. 4.
    Takahashi T, Nakadai K, Komatani K, Ogata T, Okuno HG (2009) Missing-feature-theory-based robust simultaneous speech recognition system with non-clean speech acoustic model. In: Proceedings of IEEE/RSJ international conference on intelligent robots and systems (IROS-2009) Google Scholar
  5. 5.
    Sanfeliu A, Hagita N, Saffiotti A (2008) Network robot systems. Special issue: network robot systems, robotics and autonomous systems Google Scholar
  6. 6.
    Glas DF, Kanda T, Ishiguro H, Hagita N (2009) Field trial for simultaneous teleoperation of mobile social robots. In: ACM/IEEE 4th annual conference on human-robot interaction (HRI 2009), pp 149–156. doi: 10.1145/1514095.1514123
  7. 7.
    Norman DA (2003) Emotional design. Basic Books, New York Google Scholar
  8. 8.
    Kanda T, Ishiguro H, Imai M, Ono T (2004) Development and evaluation of interactive humanoid robots. Proc IEEE 92(11):1839–1850 CrossRefGoogle Scholar
  9. 9.
    Burgard W et al (1998) The interactive museum tour-guide robot. In: National conference on artificial intelligence, pp 11–18 Google Scholar
  10. 10.
    Siegwart R et al (2003) Robox at Expo.02: a large scale installation of personal robots. Robot Auton Syst 42:203–222 zbMATHCrossRefGoogle Scholar
  11. 11.
    Shiomi M, Kanda T, Ishiguro H, Hagita N (2010) A larger audience, please!—Encouraging people to listen to a guide robot. In: 5th ACM/IEEE international conference on human-robot interaction (HRI2010) Google Scholar
  12. 12.
    Bauer A et al (2009) The autonomous city explorer: towards natural human-robot interaction in urban environments. Int J Soc Robot 1(2):127–140 CrossRefGoogle Scholar
  13. 13.
    Lee MK, Forlizzi J, Rybski PE, Crabbe F, Chung W, Finkle J, Glaser E, Kiesler S (2009) The Snackbot: documenting the design of a robot for long-term human-robot interaction. In: Proceedings of HRI’09, pp 7–14 Google Scholar
  14. 14.
    Gross H-M, Böhme H-J, Schröter C, Müller S, König A, Martin C, Merten M, Bley A (2008) ShopBot: progress in developing an interactive. mobile shopping assistant for everyday use. In: International conference on systems, man and cybernetics Google Scholar
  15. 15.
    Dahlback D, Jonsson A, Ahrenberg L (1993) Wizard of Oz studies—why and how. Know Based Syst 6(4):258–266 CrossRefGoogle Scholar
  16. 16.
    Dow S et al (2005) Wizard of Oz support throughout an iterative design process. Perv Comput 4(4):18–26 CrossRefGoogle Scholar
  17. 17.
    Woods S et al (2006) Comparing human robot interaction scenarios using live and video based methods. In: Towards a novel methodological approach, int workshop on advanced motion control Google Scholar
  18. 18.
    Green A et al (2004) Applying the Wizard-of-Oz framework to cooperative service discovery and configuration. In: Proc IEEE int workshop on robot and human interactive communication Google Scholar
  19. 19.
    Lee JK, Stiehl WD, Toscano RL, Breazeal C (2009) Semi-autonomous robot avatar as a medium for family communication and education. Adv Robot 23(14):1925–1949 CrossRefGoogle Scholar
  20. 20.
    Sian NE et al (2003) Whole body teleoperation of a humanoid robot integrating operator’s intention and robot’s autonomy. In: IROS2003, pp 1651–1656 Google Scholar
  21. 21.
    Sellner BP et al (2006) Attaining situational awareness for sliding autonomy. In: HRI2006, pp 80–87 Google Scholar
  22. 22.
    Correa A, Walter MR, Fletcher L, Glass J, Teller S, Davis R (2010) Multimodal interaction with an autonomous forklift. In: 5th ACM/IEEE international conference on human-robot interaction (HRI) 2010, Osaka, Japan, pp 243–250, March 2010 Google Scholar
  23. 23.
    Chen TL, Kemp CC (2010) Lead me by the hand: evaluation of a direct physical interface for nursing assistant robots. In: 5th ACM/IEEE international conference on human-robot interaction (HRI) 2010, pp 243–250, March 2010 Google Scholar
  24. 24.
    Kawai H, Toda T, Ni J, Tsuzaki M, Tokuda K (2004) XIMERA: A new TTS from ATR based on corpus-based technologies. In: Proc. of fifth ISCA workshop on speech synthesis (SSW5), pp 179–184 Google Scholar
  25. 25.
    Murakita T et al (2004) Human tracking using floor sensors based on the Markov chain Monte Carlo method. In: Proc int conf pattern recognition (ICPR04), pp 917–920 Google Scholar
  26. 26.
    Ishi CT et al (2006) Robust speech recognition system for communication robots in real environments. In: International conference on humanoid robots Google Scholar
  27. 27.
    Glas D et al (2007) Laser tracking of human body motion using adaptive shape modeling. In: Proc int conf intelligent robots and systems, pp 602–608 Google Scholar
  28. 28.
    Satake S, Kanda T, Glas DF, Imai M, Ishiguro H, Hagita N (2009) How to approach humans?—Strategies for social robots to initiate interaction. In: HRI2009, pp 109–116 Google Scholar
  29. 29.
    Shiwa T, Kanda T, Imai M, Ishiguro H, Hagita N (2009) How quickly should a communication robot respond? Int J Soc Robot 1(2):141–155 CrossRefGoogle Scholar
  30. 30.
    Shiomi M, Kanda T, Koizumi S, Ishiguro H, Hagita N (2008) Group attention control for communication robots. Int J Human Robot (IJHR) Google Scholar
  31. 31.
    Shiomi M, Nohara K, Kanda T, Ishiguro H, Hagita N (2007) Estimating group states for interactive humanoid robots. In: IEEE international conference on humanoids, Dec 2007 Google Scholar
  32. 32.
    Yamaoka F, Kanda T, Ishiguro H, Hagita N (2007) Interacting with a human or a humanoid robot? In: IEEE/RSJ international conference on intelligent robots and systems (IROS2007), pp 2685–2691 Google Scholar
  33. 33.
    Glas DF, Kanda T, Ishiguro H, Hagita N (2009) Simultaneous people tracking and localization for social robots using external laser range finders. In: Proc 2009 IEEE/RSJ international conference on intelligent robots and systems (IROS 2009), pp 846–853 Google Scholar
  34. 34.
    Shiomi M, Kanda T, Nohara K, Ishiguro H, Hagita N (2008) Adaptive supervisory controls of a communication robot that approaches visitors. In: International symposium on distributed autonomous robotic systems (DARS) Google Scholar
  35. 35.
    Ikemoto S, Amor HB, Minato T, Ishiguro H, Jung B (2009) Physical interaction learning: behavior adaptation in cooperative human-robot tasks involving physical contact. In: 18th IEEE international symposium on robot and human interactive communication Google Scholar
  36. 36.
    Ratwan RM, McCurry JM, Trafton JG (2010) Single operator, multiple robots: an eye movement based theoretic model of operator situation awareness. In: 5th ACM/IEEE international conference on human-robot interaction (HRI) 2010, pp 243–250, March 2010 Google Scholar

Copyright information

© Springer Science & Business Media BV 2010

Authors and Affiliations

  • Masahiro Shiomi
    • 1
    Email author
  • Daisuke Sakamoto
    • 2
  • Takayuki Kanda
    • 1
  • Carlos Toshinori Ishi
    • 1
  • Hiroshi Ishiguro
    • 1
  • Norihiro Hagita
    • 1
  1. 1.ATR-IRCKyotoJapan
  2. 2.Japan Science and Technology Agency, ERATO Igarashi Design UI ProjectBunkyo, TokyoJapan

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