Resumen

ALDANA-FRANCO, F.; MONTES-GONZALEZ, F.  y  NOLFI, S.. The improvement of signal communication for a foraging task using evolutionary robotics. J. appl. res. technol [online]. 2024, vol.22, n.1, pp.90-101.  Epub 11-Ago-2025. ISSN 2448-6736.  https://doi.org/10.22201/icat.24486736e.2024.22.1.1652.

Communication systems represent an evolutionary advantage for a group of robots solving coordinated tasks. In the field of evolutionary robotics, the emergence and establishment of communication are regulated by different variables. These systems can be fine-adjusted by artificial evolution to improve signal communication. Developing communication signals set a multi-objective, multi-purpose frame that imposes restrictions and opportunities for implementing signal communication. In this article we observe that emergent signals appear due to its role as an evolutionarily tool for solving a particular task. Emitters and receivers generate a conceptualization process, which transforms signals into an evolutionary aid. In this way a foraging experiment is implemented in FARSA with the marXbot robot. The experiment consists of a group of robots that feeds in a safe zone while avoiding a poisoned one. Communication is configured with the LED rings and linear cameras of the robots. In general, individuals tend to point to the food zone to attract the rest of the population. Different signals arise after the robots are exposed to the presence of near objects and the poisoned zone. The contextualization of a developing signal depends on relevant scenarios where the emergence and consolidation of the signals depends on the evolutionary importance of the strategies developed by the group.

Palabras llave : Evolutionary robotics; communication systems; FARSA; artificial neural networks; marXbot.

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