Adaptive Circadian Rhythms for Autonomous and Biologically Inspired Robot Behavior

Biological rhythms are periodic internal variations of living organisms that act as adaptive responses to environmental changes. The human pacemaker is the suprachiasmatic nucleus, a brain region involved in biological functions like homeostasis or emotion. Biological rhythms are ultradian (<24 h...

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Main Authors: Marcos Maroto-Gómez, María Malfaz, Álvaro Castro-González, Sara Carrasco-Martínez, Miguel Ángel Salichs
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Biomimetics
Subjects:
Online Access:https://www.mdpi.com/2313-7673/8/5/413
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author Marcos Maroto-Gómez
María Malfaz
Álvaro Castro-González
Sara Carrasco-Martínez
Miguel Ángel Salichs
author_facet Marcos Maroto-Gómez
María Malfaz
Álvaro Castro-González
Sara Carrasco-Martínez
Miguel Ángel Salichs
author_sort Marcos Maroto-Gómez
collection DOAJ
description Biological rhythms are periodic internal variations of living organisms that act as adaptive responses to environmental changes. The human pacemaker is the suprachiasmatic nucleus, a brain region involved in biological functions like homeostasis or emotion. Biological rhythms are ultradian (<24 h), circadian (∼24 h), or infradian (>24 h) depending on their period. Circadian rhythms are the most studied since they regulate daily sleep, emotion, and activity. Ambient and internal stimuli, such as light or activity, influence the timing and the period of biological rhythms, making our bodies adapt to dynamic situations. Nowadays, robots experience unceasing development, assisting us in many tasks. Due to the dynamic conditions of social environments and human-robot interaction, robots exhibiting adaptive behavior have more possibilities to engage users by emulating human social skills. This paper presents a biologically inspired model based on circadian biorhythms for autonomous and adaptive robot behavior. The model uses the <i>Dynamic Circadian Integrated Response Characteristic</i> method to mimic human biology and control artificial biologically inspired functions influencing the robot’s decision-making. The robot’s clock adapts to light, ambient noise, and user activity, synchronizing the robot’s behavior to the ambient conditions. The results show the adaptive response of the model to time shifts and seasonal changes of different ambient stimuli while regulating simulated hormones that are key in sleep/activity timing, stress, and autonomic basal heartbeat control during the day.
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spelling doaj.art-bf85a876323d4523ab294308258453882023-11-19T09:44:09ZengMDPI AGBiomimetics2313-76732023-09-018541310.3390/biomimetics8050413Adaptive Circadian Rhythms for Autonomous and Biologically Inspired Robot BehaviorMarcos Maroto-Gómez0María Malfaz1Álvaro Castro-González2Sara Carrasco-Martínez3Miguel Ángel Salichs4Systems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad 30, 28911 Leganés, Madrid, SpainSystems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad 30, 28911 Leganés, Madrid, SpainSystems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad 30, 28911 Leganés, Madrid, SpainSystems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad 30, 28911 Leganés, Madrid, SpainSystems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad 30, 28911 Leganés, Madrid, SpainBiological rhythms are periodic internal variations of living organisms that act as adaptive responses to environmental changes. The human pacemaker is the suprachiasmatic nucleus, a brain region involved in biological functions like homeostasis or emotion. Biological rhythms are ultradian (<24 h), circadian (∼24 h), or infradian (>24 h) depending on their period. Circadian rhythms are the most studied since they regulate daily sleep, emotion, and activity. Ambient and internal stimuli, such as light or activity, influence the timing and the period of biological rhythms, making our bodies adapt to dynamic situations. Nowadays, robots experience unceasing development, assisting us in many tasks. Due to the dynamic conditions of social environments and human-robot interaction, robots exhibiting adaptive behavior have more possibilities to engage users by emulating human social skills. This paper presents a biologically inspired model based on circadian biorhythms for autonomous and adaptive robot behavior. The model uses the <i>Dynamic Circadian Integrated Response Characteristic</i> method to mimic human biology and control artificial biologically inspired functions influencing the robot’s decision-making. The robot’s clock adapts to light, ambient noise, and user activity, synchronizing the robot’s behavior to the ambient conditions. The results show the adaptive response of the model to time shifts and seasonal changes of different ambient stimuli while regulating simulated hormones that are key in sleep/activity timing, stress, and autonomic basal heartbeat control during the day.https://www.mdpi.com/2313-7673/8/5/413biological rhythmsroboticsartificial intelligenceautonomous and adaptive behaviorsocial robotics
spellingShingle Marcos Maroto-Gómez
María Malfaz
Álvaro Castro-González
Sara Carrasco-Martínez
Miguel Ángel Salichs
Adaptive Circadian Rhythms for Autonomous and Biologically Inspired Robot Behavior
Biomimetics
biological rhythms
robotics
artificial intelligence
autonomous and adaptive behavior
social robotics
title Adaptive Circadian Rhythms for Autonomous and Biologically Inspired Robot Behavior
title_full Adaptive Circadian Rhythms for Autonomous and Biologically Inspired Robot Behavior
title_fullStr Adaptive Circadian Rhythms for Autonomous and Biologically Inspired Robot Behavior
title_full_unstemmed Adaptive Circadian Rhythms for Autonomous and Biologically Inspired Robot Behavior
title_short Adaptive Circadian Rhythms for Autonomous and Biologically Inspired Robot Behavior
title_sort adaptive circadian rhythms for autonomous and biologically inspired robot behavior
topic biological rhythms
robotics
artificial intelligence
autonomous and adaptive behavior
social robotics
url https://www.mdpi.com/2313-7673/8/5/413
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AT mariamalfaz adaptivecircadianrhythmsforautonomousandbiologicallyinspiredrobotbehavior
AT alvarocastrogonzalez adaptivecircadianrhythmsforautonomousandbiologicallyinspiredrobotbehavior
AT saracarrascomartinez adaptivecircadianrhythmsforautonomousandbiologicallyinspiredrobotbehavior
AT miguelangelsalichs adaptivecircadianrhythmsforautonomousandbiologicallyinspiredrobotbehavior