Evidence map›Paper›PMID 31708765›Full record

ArticleFrontiers in neurorobotics2019

Integrative Biomimetics of Autonomous Hexapedal Locomotion.

Volker Dürr, Paolo P Arena, Holk Cruse, Chris J Dallmann, Alin Drimus, Thierry Hoinville, Tammo Krause, Stefan Mátéfi-Tempfli, Jan Paskarbeit, Luca Patanè and 7 more

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  5. A parametric finite element model of leg campaniform sensilla inJournal of the Royal Society, Interface · 2025
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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

17 authors.

Volker DürrDepartment of Biological Cybernetics, Faculty of Biology, Bielefeld University, Bielefeld, Germany.
Paolo P ArenaDIEEI: Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Università degli Studi di Catania, Catania, Italy.
Holk CruseCognitive Interaction Technology: Center of Excellence, Bielefeld University, Bielefeld, Germany.
Chris J DallmannDepartment of Biological Cybernetics, Faculty of Biology, Bielefeld University, Bielefeld, Germany.
Alin DrimusMads Clausen Institute, University of Southern Denmark, Sønderborg, Denmark.
Thierry HoinvilleDepartment of Biological Cybernetics, Faculty of Biology, Bielefeld University, Bielefeld, Germany.
Tammo KrauseInstitut für Entwicklungsbiologie und Neurobiologie, Johannes Gutenberg-Universität, Mainz, Germany.
Stefan Mátéfi-TempfliMads Clausen Institute, University of Southern Denmark, Sønderborg, Denmark.
Jan PaskarbeitCognitive Interaction Technology: Center of Excellence, Bielefeld University, Bielefeld, Germany.
Luca PatanèDIEEI: Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Università degli Studi di Catania, Catania, Italy.
Mattias SchäffersmannCognitive Interaction Technology: Center of Excellence, Bielefeld University, Bielefeld, Germany.
Malte SchillingCognitive Interaction Technology: Center of Excellence, Bielefeld University, Bielefeld, Germany.
Josef SchmitzDepartment of Biological Cybernetics, Faculty of Biology, Bielefeld University, Bielefeld, Germany.
Roland StraussInstitut für Entwicklungsbiologie und Neurobiologie, Johannes Gutenberg-Universität, Mainz, Germany.
Leslie TheunissenDepartment of Biological Cybernetics, Faculty of Biology, Bielefeld University, Bielefeld, Germany.
Alessandra VitanzaDIEEI: Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Università degli Studi di Catania, Catania, Italy.
Axel SchneiderCognitive Interaction Technology: Center of Excellence, Bielefeld University, Bielefeld, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite substantial advances in many different fields of neurorobotics in general, and biomimetic robots in particular, a key challenge is the integration of concepts: to collate and combine research on disparate and conceptually disjunct research areas in the neurosciences and engineering sciences. We claim that the development of suitable robotic integration platforms is of particular relevance to make such integration of concepts work in practice. Here, we provide an example for a hexapod robotic integration platform for autonomous locomotion. In a sequence of six focus sections dealing with aspects of intelligent, embodied motor control in insects and multipedal robots-ranging from compliant actuation, distributed proprioception and control of multiple legs, the formation of internal representations to the use of an internal body model-we introduce the walking robot HECTOR as a research platform for integrative biomimetics of hexapedal locomotion. Owing to its 18 highly sensorized, compliant actuators, light-weight exoskeleton, distributed and expandable hardware architecture, and an appropriate dynamic simulation framework, HECTOR offers many opportunities to integrate research effort across biomimetics research on actuation, sensory-motor feedback, inter-leg coordination, and cognitive abilities such as motion planning and learning of its own body size.

Indexed as

complianceinternal modelleg coordinationload sensingmotor controlmotor learningproprioceptionwalking

Identifiers

PMID31708765
PMCPMC6819508

What OpenQuestion holds

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LicenceCC BY
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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.