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Implementation of an Artificially Empathetic Robot Swarm
Version 1
: Received: 15 December 2023 / Approved: 15 December 2023 / Online: 18 December 2023 (02:11:15 CET)
A peer-reviewed article of this Preprint also exists.
Siwek, J.; Żywica, P.; Siwek, P.; Wójcik, A.; Woch, W.; Pierzyński, K.; Dyczkowski, K. Implementation of an Artificially Empathetic Robot Swarm. Sensors 2024, 24, 242. Siwek, J.; Żywica, P.; Siwek, P.; Wójcik, A.; Woch, W.; Pierzyński, K.; Dyczkowski, K. Implementation of an Artificially Empathetic Robot Swarm. Sensors 2024, 24, 242.
Abstract
This paper introduces an innovative framework for the integration of artificial empathy into robot swarms to enhance communication and cooperation. The proposed model relies on fuzzy state vectors to represent the knowledge and environment of individual agents, accommodating uncertainties in the real world. Utilizing similarity measures, the model compares states, enabling empathetic reasoning for synchronized swarm behavior. A practical application example demonstrates the model’s efficacy in a robot swarm striving for a common goal. The evaluation methodology involves the Open Source Physical-based Experimentation Platform (OPEP), emphasizing empirical validation in real-world scenarios. The paper proposes a transitional environment that allows automated and repeatable execution of experiments on a swarm of robots using physical devices.
Keywords
artificial empathy; swarm; fuzzy sets; similarity measure; open simulation; physical experimentation
Subject
Computer Science and Mathematics, Robotics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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