Abstract
The article examines the peculiarities of cognitive activity of a Human Operator (HO) to remote monitoring a heterogeneous group of Autonomous (unmanned) Mobile Robots (AMR) in aspects of ensuring security of their collaborative operations. As an example of such a group, one of the possible solutions for the use of AMRs in lunar missions is considered: monitoring of a group of AMRs on the lunar surface by a cosmonaut, located over a long distance in a lunar base. In the “Human-Machine System” the cognitive approach to manage tasks is considered as a main principle of the distribution of functions. Current tasks assigned to the AMR are assumed by HO as separate cognitive units. In evaluating the current situation, this approach allows to use the following knowledge: (1) the available options for decision-making; (2) the conditions for the implementation of particular task in the required chain of tasks; (3) the parameters of activity of all members of the group, (4) the amount of data about the environment and the current situation. To build coordinated actions, that meet the requirements for collisions prevention, it is necessary to use a single semantic basis for designing Human-Robot Interaction (HRI) and special tools for information support of HO. This paper discusses a few of possible solutions.
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Acknowledgments
This research is financially supported by the Russian Foundation for Basic Research (project No. 18-37-00306), as well as by the state research No. 0073-2018-0002.
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Kryuchkov, B., Usov, V., Ivanko, D., Kagirov, I. (2018). Cognitive Components of Human Activity in the Process of Monitoring a Heterogeneous Group of Autonomous Mobile Robots on the Lunar Surface. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2018. Lecture Notes in Computer Science(), vol 11097. Springer, Cham. https://doi.org/10.1007/978-3-319-99582-3_16
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