Abstract
In human interaction with a robot, estimation of the other’s intention is thought of as an indispensable factor for achievement of a precise self action. But estimation of the other’s intention is heavy loaded information processing, and we don’t think humans are always doing it. So, in this paper, we propose a light loaded computational algorithm that achieves human-robot interaction without intention estimation in the self agent. In the method, the self agent assumes the other agent to estimate intention, and searches for an action that is easy to be interpreted by the other agent. We evaluated the effectiveness of the proposed model by computer simulation on a hunter task. This method should be positioned as one of the possible variations of intention-based interaction.
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Omori, T., Yokoyama, A., Okada, H., Ishikawa, S., Nagata, Y. (2008). Computational Modeling of Human-Robot Interaction Based on Active Intention Estimation. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds) Neural Information Processing. ICONIP 2007. Lecture Notes in Computer Science, vol 4985. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69162-4_20
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DOI: https://doi.org/10.1007/978-3-540-69162-4_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69159-4
Online ISBN: 978-3-540-69162-4
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