Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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

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