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Intelligent Control of Variable Ranging Sensor Array Using Multi-objective Behavior Coordination

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10984))

Abstract

Recently, in order to reduce secondary disasters at the disaster site, the expectation of rescue robots has been increasing. In the disaster site, many kinds of environments are mixed. Therefore, in order to make robots perform the environmental sensing in the complicated environment, it is necessary to change the measurement area and density according to the environment information. Therefore, we developed a Variable Ranging Sensor Array as a 3D-distance measurement system for changing measurement area and density. In this paper, we propose an intelligent control method for the sensor array based on Multi-Objective Behavior Coordination, and show results of proposed method in a simulation experiment.

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References

  1. Cole, D.M., Newman, P.M.: Using laser range data for 3D SLAM in outdoor environments. In: Proceedings of 2006 IEEE International Conference on Robotics and Automation 2006 (ICRA 2006), pp. 1556–1563 (2006)

    Google Scholar 

  2. Kita, S., Jae, H.L., Okamoto, S.: 3D map building using mobile robot with scan device. Int. J. Mech. Eng. Robot. Res. (IJMERR) 5(3), 191–195 (2016)

    Google Scholar 

  3. Toda, Y., Narita, T., Kubota, N.: Information visualization based on 3D modeling for human-friendly teleoperation. In: Proceedings of 2012 IEEE World Congress on Computational Intelligence (WCCI 2012), pp. 3558–3564, 10–15 June 2012

    Google Scholar 

  4. Toda, Y., Yu, H., Ju, Z., Takesue, N., Wada, K., Kubota, N.: Real-time 3D point cloud segmentation using growing neural gas with utility. In: The 9th International Conference on Human System Interaction, pp. 418–422 (2016)

    Google Scholar 

  5. Miyake, S., Toda, Y., Kubota, N., Takesue, N., Wada, K.: Intensity histogram based segmentation of 3D point cloud using growing neural gas. In: International Conference of Intelligent Robotics and Applications, pp. 335–345 (2016)

    Google Scholar 

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

    Article  Google Scholar 

  7. Nojima, Y., Kojima F., Kubota, N.: Behavior acquisition of mobile robots based on multi-objective behavior coordination. Trans. JSME(C) 68(671), 2067–2073 (2002)

    Google Scholar 

  8. Hokuyo Automatic Co., Ltd. http://www.hokuyo-aut.co.jp

  9. Harmonic Drive Systems Inc. https://www.hds.co.jp

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Acknowledgment

This work was funded by Impulsing Paradigm Change through Disruptive Technologies (ImPACT) Program of the Council for Science, Technology and Innovation.

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Correspondence to Sasuga Kitai .

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Kitai, S., Toda, Y., Takesue, N., Wada, K., Kubota, N. (2018). Intelligent Control of Variable Ranging Sensor Array Using Multi-objective Behavior Coordination. In: Chen, Z., Mendes, A., Yan, Y., Chen, S. (eds) Intelligent Robotics and Applications. ICIRA 2018. Lecture Notes in Computer Science(), vol 10984. Springer, Cham. https://doi.org/10.1007/978-3-319-97586-3_35

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  • DOI: https://doi.org/10.1007/978-3-319-97586-3_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97585-6

  • Online ISBN: 978-3-319-97586-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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