Abstract
This paper proposes a novel interaction model of a human-robot cooperative task. The model employs CEA (Commands Embedded in Actions), which reduces a human cognitive load because it requires less explicit human-robot communication than direct commanding methods in conventional interaction models. We propose a guideline along which to design robots’ actions based on CEA, and apply it to a cooperative sweeping task by a human and a small mobile robot. CEA is experimentally shown to reduce the human cognitive load more than direct commanding methods do in this sweeping task.
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Kobayashi, K., Yamada, S. (2007). Human-Robot Cooperative Sweeping Using Commands Embedded in Actions. In: Sakurai, A., Hasida, K., Nitta, K. (eds) New Frontiers in Artificial Intelligence. JSAI JSAI 2003 2004. Lecture Notes in Computer Science(), vol 3609. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71009-7_22
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DOI: https://doi.org/10.1007/978-3-540-71009-7_22
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