Evidence map›Paper›PMID 37754164›Full record

ArticleBiomimetics (Basel, Switzerland)2023

Adaptive Circadian Rhythms for Autonomous and Biologically Inspired Robot Behavior.

Marcos Maroto-Gómez, María Malfaz, Álvaro Castro-González, Sara Carrasco-Martínez, Miguel Ángel Salichs

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Marcos Maroto-GómezSystems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad 30, 28911 Leganés, Madrid, Spain.ORCID 0000-0001-9576-1731
María MalfazSystems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad 30, 28911 Leganés, Madrid, Spain.ORCID 0000-0003-2317-3329
Álvaro Castro-GonzálezSystems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad 30, 28911 Leganés, Madrid, Spain.ORCID 0000-0002-5189-0002
Sara Carrasco-MartínezSystems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad 30, 28911 Leganés, Madrid, Spain.ORCID 0000-0002-2148-2067
Miguel Ángel SalichsSystems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad 30, 28911 Leganés, Madrid, Spain.ORCID 0000-0002-0263-6606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

artificial intelligenceautonomous and adaptive behaviorbiological rhythmsroboticssocial robotics

Identifiers

PMID37754164
PMCPMC10527311

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.