Evidence map›Paper›PMID 33746643›Full record

ArticleIEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society2020

Model-based feedback control of live zebrafish behavior via interaction with a robotic replica.

Pietro DeLellis, Edoardo Cadolini, Arrigo Croce, Yanpeng Yang, Mario di Bernardo, Maurizio Porfiri

Abstract read
In one paragraph

Article in IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

6 authors.

Pietro DeLellisDepartment of Electrical Electrical Engineering and Information Technology, University of Naples Federico II. Department of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering.
Edoardo CadoliniDepartment of Electrical Electrical Engineering and Information Technology, University of Naples Federico II. Department of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering.
Arrigo CroceDepartment of Electrical Electrical Engineering and Information Technology, University of Naples Federico II. Department of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering.
Yanpeng YangDepartment of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering. Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, School of Mechanical Engineering, Tianjin University, Tianjin, China.
Mario di BernardoDepartment of Electrical Electrical Engineering and Information Technology, University of Naples Federico II. Department of Engineering Mathematics of the University of Bristol, U.K.
Maurizio PorfiriDepartment of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering. Department of Biomedical Engineering, New York University Tandon School of Engineering.

Funding

Robotics may help unravel the biological determinants of substance use disorders: studies in zebrafishR21DA042558 · NIDA · NEW YORK UNIVERSITY · PI PORFIRI, MAURIZIO · 2017 to 2018
$346k
NIDA NIH HHS R21 DA042558
6 · The paper itself

Abstract

The possibility of regulating the behavior of live animals using biologically-inspired robots has attracted the interest of biologists and engineers for over twenty-five years. From early work on insects to recent endeavors on mammals, we have witnessed fascinating applications that have pushed forward our understanding of animal behavior along new directions. Despite significant progress, most of the research has focused on open-loop control systems, in which robots execute predetermined actions, independent of the animal behavior. We integrate mathematical modeling of social behavior toward the design of realistic feedback laws for robots to interact with a live animal. In particular, we leverage recent advancements in data-driven modeling of zebrafish behavior. Ultimately, we establish a novel robotic platform that allows real-time actuation of a biologically-inspired 3D-printed zebrafish replica to implement model-based control of animal behavior. We demonstrate our approach through a series of experiments, designed to elucidate the appraisal of the replica by live subjects with respect to conspecifics and to quantify the biological value of closed-loop control.

Indexed as

Animal-robotcollective behaviorethoroboticsstochastic differential equationsswimming

Identifiers

PMID33746643
PMCPMC7970833

What OpenQuestion holds

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Registered trials

None linked

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.