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Kansei and human experience analysis for mobile robot navigation in a ubiquitous environment

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Abstract

Researchers are trying to construct an intelligent system with the help of advance in technology. Many successful milestones have been passed in achieving “humanoid robots” that are little closer to humans, but still not very good. Although the expectation level for the intelligence of these new systems is still unknown, it can be fairly assumed that reaching a goal at least up to the intelligence level of a human being may be a big success. In order to be closer to a human, it is necessary to analyze the behavioral patterns of humans in order to apply those to other artificial intelligence machines. Humans can be described as creatures of emotion. They have feelings toward themselves as well as towards others. These affect all the dealings they perform. Is there anything these feelings can do to robots? Will there be any improvements to robot by having them? This research project discusses the possibility of applying “feelings” to mobile robots in ubiquitous environments.

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Authors and Affiliations

  1. Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University, 1-Honjomachi, Saga, 840-8502, Japan

    Janaka Chaminda Balasuriya, Keigo Watanabe & Kiyotaka Izumi

  2. Software Engineering Laboratory, Department of Computer Software, University of Aizu, Fukushima, Japan

    Chandrajith Ashuboda Marasinghe

Authors
  1. Janaka Chaminda Balasuriya
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  2. Chandrajith Ashuboda Marasinghe
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  3. Keigo Watanabe
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  4. Kiyotaka Izumi
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Corresponding author

Correspondence to Janaka Chaminda Balasuriya.

Additional information

This work was presented in part at the 11th International Symposium on Artificial Life and Robotics, Oita, Japan, January 23–25, 2006

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Balasuriya, J., Marasinghe, C., Watanabe, K. et al. Kansei and human experience analysis for mobile robot navigation in a ubiquitous environment. Artif Life Robotics 11, 105–111 (2007). https://doi.org/10.1007/s10015-006-0410-z

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  • DOI: https://doi.org/10.1007/s10015-006-0410-z

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