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Multi-layer Situation Map Based on a Spring Model for Robot Interaction

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Intelligent Robotics and Applications (ICIRA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9835))

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Abstract

This paper discusses the Multi-Layer Situation Map to estimate the relationship between the objects and the storage places for robot interaction. An interaction robot is required the many rules to take suitable action. But, It is difficult to provide rules based on all situations. Now, we focus on a cleanup service by a robot, and are developing an interaction robot which estimates the storage place where a robot should carry objects. In this system, an interaction robot has to know the relationship of the objects and the storage places in dynamically changing situation. Therefore, we propose the Multi-Layer Situation Map, and express the relationship between the object and the storage place. The multi-layer situation map can move each component using a spring model. To verify the effectivity of the multi-layer situation map, we have performed the simulation experiment. We discuss about the dynamically situation change when the same objects are exist on the table.

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References

  1. Masuta, H., Matsuo, Y., Kubota, N., Lim, H.: Robot-human interaction to encourage voluntary action. In: Proceedings of 2014 IEEE International Conference on Fuzzy Systems, pp. 1006–1012 (2014)

    Google Scholar 

  2. Banda, N., Engelbrecht, A., Robinson, P.: Feature reduction for dimensional emotion recognition in human-robot interaction. In: Proceedings of 2015 IEEE Symposium Series on Computational Intelligence, pp. 803–810 (2015)

    Google Scholar 

  3. Gross, H., Schroeter, C., Mueller, S., Volkhardt, M., Einhorn, E., Bley, A., Martin, C., Langner, T., Merten, M.: I’ll keep an eye on you: home robot companion for elderly people with cognitive impairment. In: Proceedings of 2011 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2481–2488 (2011)

    Google Scholar 

  4. Masuta, H., Tamura, Y., Lim, H.: Self-organized map based learning system for estimating the specific task by simple instructions. J. Adv. Comput. Intell. Intell. Inf. 17(3), 450–458 (2013)

    Google Scholar 

  5. Hasegawa, T., Kurazume, R., Kimuro, Y.: A structured environment with sensor networks for intelligent robots. Proc. IEEE Sens. 2008, 705–708 (2008)

    Google Scholar 

  6. Kubota, N., Tang, D., Obo, T., Wkisaka, S.: Localization of human based on fuzzy spiking neural network in informationally structured space. In: Proceedings of 2010 IEEE International Conference Fuzzy Systems, pp. 1–6 (2010)

    Google Scholar 

  7. Zadeh, L.A.: Fuzzy logic and approximate reasoning. Synthese 30(3), 407–428 (1975)

    Article  MATH  Google Scholar 

  8. Fukuda, T., Kubota, N.: An intelligent robotic system based on a fuzzy approach. Proc. IEEE 87(9), 1448–1470 (1999)

    Article  Google Scholar 

  9. Ben-Hur, A., Horn, D., Siegelmann, H.T., Vapnik, V.: Support vector clustering. J. Mach. Learn. Res. 2, 125–137 (2001)

    MATH  Google Scholar 

  10. Kohonen, T.: Self-organized formation of topologically correct feature maps. Biol. Cybern. 43(1), 59–69 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  11. Ando, N., Suehiro, T., Kitagaki, K., Kotoku, T., Yoon, W.: RT-middleware: distributed component middleware for RT (robot technology). In: Proceedings of 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3933–3938 (2005)

    Google Scholar 

  12. Otsuka, Y., Hu, J., Inoue, T.: Tabletop dish recommendation system for social dining: group FDT design based on the investigations of dish recommendation. Int. J. Inf. Process. 21(1), 100–108 (2013)

    Google Scholar 

  13. Williams, H.E., Lane, D.: Web Database Applications with PHP and MySQL. O’Reilly Media, Sebastopol (2004)

    MATH  Google Scholar 

  14. Kajinami, T., Makihara, T., Takama, Y.: Interactive visualization system for decision making support in online shopping. In: Chawla, S., Washio, T., Minato, S., Tsumoto, S., Onoda, T., Yamada, S., Inokuchi, A. (eds.) PAKDD 2008. LNCS, vol. 5433, pp. 193–202. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  15. Sabo, S., Kovarova, A., Navrat, P.: Multiple developing news stories identified and tracked by social insects and visualized using the new galactic streams and concurrent streams metaphors. Int. J. Hybrid Intell. Syst. 12(1), 27–39 (2015)

    Article  Google Scholar 

  16. Srinivasa Rao, P., Krishna Prasad, M.H.M., Thammi Reddy, K.: An efficient semantic ranked keyword search of big data using map reduce. Int. J. Database Theor. Appl. 8(6), 47–56 (2015)

    Article  Google Scholar 

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Correspondence to Satoshi Yokoi .

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Yokoi, S., Masuta, H., Oshima, T., Koyanagi, K., Motoyoshi, T. (2016). Multi-layer Situation Map Based on a Spring Model for Robot Interaction. In: Kubota, N., Kiguchi, K., Liu, H., Obo, T. (eds) Intelligent Robotics and Applications. ICIRA 2016. Lecture Notes in Computer Science(), vol 9835. Springer, Cham. https://doi.org/10.1007/978-3-319-43518-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-43518-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43517-6

  • Online ISBN: 978-3-319-43518-3

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