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Article

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Title

Implementation of an Artificially Empathetic Robot Swarm

Authors

[ 1 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee | [ S ] student

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technologies

Year of publication

2024

Published in

Sensors

Journal year: 2024 | Journal volume: vol. 24 | Journal number: iss. 1

Article type

scientific article

Publication language

english

Keywords
EN
  • artificial empathy
  • swarm
  • fuzzy sets
  • similarity measure
  • open simulation
  • physical experimentation
Abstract

EN This paper presents a novel framework for integrating artificial empathy into robot swarms to improve communication and cooperation. The proposed model uses fuzzy state vectors to represent the knowledge and environment of individual agents, accommodating uncertainties in the real world. By utilizing similarity measures, the model compares states, enabling empathetic reasoning for synchronized swarm behavior. The paper presents a practical application example that demonstrates the efficacy of the model in a robot swarm working toward a common goal. The evaluation methodology involves the open-source physical-based experimentation platform (OPEP), which emphasizes empirical validation in real-world scenarios. The paper proposes a transitional environment that enables automated and repeatable execution of experiments on a swarm of robots using physical devices.

Date of online publication

31.12.2023

Pages (from - to)

242-1 - 242-23

DOI

10.3390/s24010242

URL

https://doi.org/10.3390/s24010242

Comments

Article number: 242

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Release date

31.12.2023

Date of Open Access to the publication

in press

Full text of article

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Access level to full text

public

Ministry points / journal

100

Impact Factor

3,4 [List 2023]

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