Abstract
In case of operating the robot in a real environment, its behavior will be probabilistic due to the slight transition of the robot’s state or the error of the action that is taken at each time. We have previously reported that prediction of the state-action pair, is the prediction method to link the state and action of the robot for future the state and the action. From this standpoint, we have proposed the method that decides the action that tends to take in the future. In this paper, we will try to introduce the statistical approach to the prediction of the state-action pair. From this standpoint, we propose the method that decides the action that tends to take in the future, for the current action. In the proposed method, we will calculate the existence probability of the state and the action in the future, according to the normal distribution.
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Sugimoto, M., Kurashige, K. (2016). A Study on the Deciding an Action Based on the Future Probabilistic Distribution. 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_37
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DOI: https://doi.org/10.1007/978-3-319-43518-3_37
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