Evidence map›Paper›PMID 24990292›Full record

ArticleJournal of the Royal Society, Interface2014

Design and control of compliant tensegrity robots through simulation and hardware validation.

Ken Caluwaerts, Jérémie Despraz, Atıl Işçen, Andrew P Sabelhaus, Jonathan Bruce, Benjamin Schrauwen, Vytas SunSpiral

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
43.1field-weighted citation impact, top 1% of its field
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

19 citing papers in PubMed, 260 citations in OpenAlex.

  1. Article
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  8. Review
  9. A Hopf physical reservoir computer.Scientific reports · 2021
    Article
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  15. Article
  16. Fundamentals of soft robot locomotion.Journal of the Royal Society, Interface · 2017
    Review
  17. Article
  18. Article
  19. Article
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

7 authors at 3 institutions in 3 countries.

Ken CaluwaertsDynamic Tensegrity Robotics Lab, NASA Ames Research Center, Moffett Field, CA, USA Reservoir Lab, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium ken.caluwaerts@ugent.be.
Jérémie DesprazDynamic Tensegrity Robotics Lab, NASA Ames Research Center, Moffett Field, CA, USA Biorobotics Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Atıl IşçenDynamic Tensegrity Robotics Lab, NASA Ames Research Center, Moffett Field, CA, USA School of Electrical Engineering & Computer Science, Oregon State University, Corvallis, OR, USA.
Andrew P SabelhausDynamic Tensegrity Robotics Lab, NASA Ames Research Center, Moffett Field, CA, USA Berkeley Institute of Design, University of California Berkeley, Berkeley, CA, USA.
Jonathan BruceDynamic Tensegrity Robotics Lab, NASA Ames Research Center, Moffett Field, CA, USA USRA, University of California Santa Cruz, Santa Cruz, CA, USA.
Benjamin SchrauwenReservoir Lab, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium.
Vytas SunSpiralDynamic Tensegrity Robotics Lab, NASA Ames Research Center, Moffett Field, CA, USA SGT Inc., NASA Ames Intelligent Robotics Group, Moffett Field, CA, USA.
Ames Research Center · USBerkeley College · USGhent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To better understand the role of tensegrity structures in biological systems and their application to robotics, the Dynamic Tensegrity Robotics Lab at NASA Ames Research Center, Moffett Field, CA, USA, has developed and validated two software environments for the analysis, simulation and design of tensegrity robots. These tools, along with new control methodologies and the modular hardware components developed to validate them, are presented as a system for the design of actuated tensegrity structures. As evidenced from their appearance in many biological systems, tensegrity ('tensile-integrity') structures have unique physical properties that make them ideal for interaction with uncertain environments. Yet, these characteristics make design and control of bioinspired tensegrity robots extremely challenging. This work presents the progress our tools have made in tackling the design and control challenges of spherical tensegrity structures. We focus on this shape since it lends itself to rolling locomotion. The results of our analyses include multiple novel control approaches for mobility and terrain interaction of spherical tensegrity structures that have been tested in simulation. A hardware prototype of a spherical six-bar tensegrity, the Reservoir Compliant Tensegrity Robot, is used to empirically validate the accuracy of simulation.

Indexed as

RoboticsAlgorithmsAnimalsArtificial IntelligenceBiomechanical PhenomenaBiomimeticsComputersComputer SimulationHumansLocomotionModels, BiologicalSoftwareTensile Strengthbioinspired locomotioncentral pattern generatorscompliant roboticsplanetary explorationsoft roboticstensegrity

Identifiers

PMID24990292
PMCPMC4233701
OpenAlexW1996028840

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.