Abstract
In this paper, we describe a prototype multi-agent-based system for cleaning food production facilities developed as part of the RoboClean project. The prototype system is based on domestic robot vacuum cleaners equipped with infrared allergen sensors and Amazon echo dot speech interfaces. T.he robots are controlled by a multi-agent system implemented in Jason, which handles (ad hoc) task allocation and robot coordination. We briefly describe the architecture of the RoboClean system, how coordination is achieved using the contract net protocol, and the implementation of the current prototype.
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For details of the sensor, see [8].
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When the prototype is implemented on real Neato robots, it will only be able calculate the move time based on the time it would take to move from the base station, as the Neato does not reveal its location through the API.
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Collenette, J., Logan, B. (2020). Multi-agent Control of Industrial Robot Vacuum Cleaners. In: Baroglio, C., Hubner, J.F., Winikoff, M. (eds) Engineering Multi-Agent Systems. EMAS 2020. Lecture Notes in Computer Science(), vol 12589. Springer, Cham. https://doi.org/10.1007/978-3-030-66534-0_6
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DOI: https://doi.org/10.1007/978-3-030-66534-0_6
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