Abstract
Adaptive behaviors by a robot could result in a mistake in human life, since the robot does not know what the user wants exactly. We think that the robot should learn individual’s preference of the user before executing adaptive behaviors. As a result, it is expected that the robot can execute adaptive behaviors appropriate to the user. We defined this as “considerate behaviors.” In order to let the robot execute considerate behaviors, we use a neural network to teach individual’s preference and considerate behaviors to the robot. Furthermore, we find the effective way of selecting supervisors of neural network to make the robot execute considerate behaviors with a few selected supervisors. We tested it in simulation and also in real life with a real robot named DARwIn-OP.
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Baek, J., Mizuuchi, I. (2016). Considerate Behavior of Robots Based on Individual’s Preference. In: Menegatti, E., Michael, N., Berns, K., Yamaguchi, H. (eds) Intelligent Autonomous Systems 13. Advances in Intelligent Systems and Computing, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-319-08338-4_73
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DOI: https://doi.org/10.1007/978-3-319-08338-4_73
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