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Cognitive human–robot interaction
Mutlu, B.; Roy, N.; Šabanovic, S. (2016). Cognitive human–robot interaction, in: Siciliano, B. et al. Springer handbook of robotics. pp. 1907-1934. https://dx.doi.org/10.1007/978-3-319-32552-1_71
In: Siciliano, B.; Khatib, O. (Ed.) (2016). Springer handbook of robotics. Second edition. Springer Verlag: Berlin. ISBN 978-3-319-32550-7; e-ISBN 978-3-319-32552-1. LXXVI, 2227 pp. https://dx.doi.org/10.1007/978-3-319-32552-1, more
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  • Mutlu, B.
  • Roy, N.
  • Šabanovic, S.
Abstract
    A key research challenge in robotics is to design robotic systems with the cognitive capabilities necessary to support human–robot interaction. These systems will need to have appropriate representations of the world; the task at hand; the capabilities, expectations, and actions of their human counterparts; and how their own actions might affect the world, their task, and their human partners. Cognitive human–robot interaction is a research area that considers human(s), robot(s), and their joint actions as a cognitive system and seeks to create models, algorithms, and design guidelines to enable the design of such systems. Core research activities in this area include the development of representations and actions that allow robots to participate in joint activities with people; a deeper understanding of human expectations and cognitive responses to robot actions; and, models of joint activity for human–robot interaction. This chapter surveys these research activities by drawing on research questions and advances from a wide range of fields including computer science, cognitive science, linguistics, and robotics.
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