Advertisement

Competition Design to Evaluate Cognitive Functions in Human-Robot Interaction Based on Immersive VR

  • Tetsunari InamuraEmail author
  • Yoshiaki Mizuchi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11175)

Abstract

While RoboCup Soccer and RoboCup Rescue have simulation leagues, RoboCup@Home does not. One reason for the difficulty of creating a RoboCup@Home simulation is that robot users must be present. Almost all existing tasks in RoboCup@Home depend on communication between humans and robots. For human-robot interaction in a simulator, a user model or avatar should be designed and implemented. Furthermore, behavior of real humans often lead to unfair conditions between participant teams. Since the one-shot trial is the standard evaluation style in the current RoboCup, human behavior is quite difficult to evaluate from a statistical point of view. We propose a novel software platform for statistically evaluating human-robot interaction in competitions. With the help of cloud computing and an immersive VR system, cognitive and social human-robot interaction can be carried out and measured as objective data in a VR environment. In this paper, we explain the novel platform and propose two kinds of competition design with the aim of evaluating social and cognitive human-robot interaction from a statistical point of view.

Keywords

RoboCup@Home Immersive virtual reality Human-robot interaction Evaluation of social and cognitive behavior 

References

  1. 1.
    Inamura, T., Tan, J.T.C., Sugiura, K., Nagai, T., Okada, H.: Development of RoboCup@Home simulation towards long-term large scale HRI. In: Behnke, S., Veloso, M., Visser, A., Xiong, R. (eds.) RoboCup 2013. LNCS (LNAI), vol. 8371, pp. 672–680. Springer, Heidelberg (2014).  https://doi.org/10.1007/978-3-662-44468-9_64CrossRefGoogle Scholar
  2. 2.
    Inamura, T., et al.: Simulator platform that enables social interaction simulation - SIGVerse: SocioIntelliGenesis simulator. In: IEEE/SICE International Symposium on System Integration, pp. 212–217 (2010)Google Scholar
  3. 3.
    Codd-Downey, R., Forooshani, P.M., Speers, A., Wang, H., Jenkin, M.: From ROS to unity: leveraging robot and virtual environment middleware for immersive teleoperation. In: IEEE International Conference on Information and Automation, pp. 932–936 (2014)Google Scholar
  4. 4.
    Hu, Y., Meng, W.: ROSUnitySim: development of a low-cost experimental quadcopter testbed using an arduino controller and software. J. Simul. 92(10), 931–944 (2016)CrossRefGoogle Scholar
  5. 5.
    Koenig, N., and Howard, A.: Design and use paradigms for Gazebo, an open-source multi-robot simulator. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2149–2154 (2004)Google Scholar
  6. 6.
    Lewis, M., Wang, J., Hughes, S.: USARSim: simulation for the study of human-robot interaction. J. Cogn. Eng. Decis. Mak. 1(1), 98–120 (2007)CrossRefGoogle Scholar
  7. 7.
    Nakaoka, S.: Choreonoid: extensible virtual robot environment built on an integrated GUI framework. In: Proceedings of IEEE/SICE International Symposium on System Integration, pp. 79–85 (2012)Google Scholar
  8. 8.
    Kanehiro, F., Hirukawa, H., Kajita, S.: OpenHRP: open architecture humanoid robotics platform. Int. J. Robot. Res. 23(2), 155–165 (2004)CrossRefGoogle Scholar
  9. 9.
    Rohmer, E., Singh, S.P.N., and Freese, M.: V-REP: a versatile and scalable robot simulation framework. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1321–1326 (2013)Google Scholar
  10. 10.
    Michel, O.: Webots TM : professional mobile robot simulation. Int. J. Adv. Robot. Syst. 1(1), 39–42 (2004)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.National Insititute of InformaticsChiyoda-kuJapan
  2. 2.SOKENDAI (The Graduate University for Advanced Studies)Chiyoda-kuJapan

Personalised recommendations