Abstract
Personal service robots assisting humans in daily life are expected to provide a user-oriented service [1]. To meet this expectation, there has been much research on behavior selection algorithms for the proper service. The action selection method was proposed to activate a most appropriate action in a certain situation [2]. The behavior selection method for artificial creatures considering both internal and external situation was proposed [3]. A system using episodic memory (EM) was developed to supervise user’s daily activities [4].
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Ko, WR., Jung, CY., Yoo, YH., Kim, DH., Kim, JH. (2012). Behavior Selection Algorithm for Personal Service Robots Using Intelligence Operating Architecture. In: Herrmann, G., et al. Advances in Autonomous Robotics. TAROS 2012. Lecture Notes in Computer Science(), vol 7429. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32527-4_41
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DOI: https://doi.org/10.1007/978-3-642-32527-4_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32526-7
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