Strategy acquirement by survival robots in outdoor environment

Pitoyo Hartono, Keishiro Tabe, Kenji Suzuki, Shuji Hashimoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)

    Abstract

    In this research we propose a model of autonomous robot that is able to survive in real world outdoor environment without human intervention. For an autonomous robot, energy is a very important factor, so it is only natural that the ability of the robot to accumulate energy should be used as evaluation of the robot's survival strategy. The robot in this study is equipped with a solar panel, and a model of neural network ensemble. The solar panel enables the robot to autonomously accumulate energy in the outdoor environment, while the neural network ensemble enables the robot to acquire strategies that are needed in order to survive in the environment. The accumulated energy is considered as the feedback from the environment to measure the efficiency of the strategy exerted by the robot, and used as learning guidance for the robot to survive.

    Original languageEnglish
    Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
    Pages3571-3575
    Number of pages5
    Volume3
    Publication statusPublished - 2003
    Event2003 IEEE International Conference on Robotics and Automation - Taipei, Taiwan, Province of China
    Duration: 2003 Sep 142003 Sep 19

    Other

    Other2003 IEEE International Conference on Robotics and Automation
    CountryTaiwan, Province of China
    CityTaipei
    Period03/9/1403/9/19

    ASJC Scopus subject areas

    • Software
    • Control and Systems Engineering

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  • Cite this

    Hartono, P., Tabe, K., Suzuki, K., & Hashimoto, S. (2003). Strategy acquirement by survival robots in outdoor environment. In Proceedings - IEEE International Conference on Robotics and Automation (Vol. 3, pp. 3571-3575)