Literature DB >> 24990292

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

Ken Caluwaerts1, Jérémie Despraz2, Atıl Işçen3, Andrew P Sabelhaus4, Jonathan Bruce5, Benjamin Schrauwen6, Vytas SunSpiral7.   

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.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Keywords:  bioinspired locomotion; central pattern generators; compliant robotics; planetary exploration; soft robotics; tensegrity

Mesh:

Year:  2014        PMID: 24990292      PMCID: PMC4233701          DOI: 10.1098/rsif.2014.0520

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  13 in total

1.  Mechanical behavior in living cells consistent with the tensegrity model.

Authors:  N Wang; K Naruse; D Stamenović; J J Fredberg; S M Mijailovich; I M Tolić-Nørrelykke; T Polte; R Mannix; D E Ingber
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-03       Impact factor: 11.205

2.  Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication.

Authors:  Herbert Jaeger; Harald Haas
Journal:  Science       Date:  2004-04-02       Impact factor: 47.728

Review 3.  Modeling discrete and rhythmic movements through motor primitives: a review.

Authors:  Sarah Degallier; Auke Ijspeert
Journal:  Biol Cybern       Date:  2010-08-10       Impact factor: 2.086

4.  An experimental unification of reservoir computing methods.

Authors:  D Verstraeten; B Schrauwen; M D'Haene; D Stroobandt
Journal:  Neural Netw       Date:  2007-04-29

Review 5.  Mechanotransduction at a distance: mechanically coupling the extracellular matrix with the nucleus.

Authors:  Ning Wang; Jessica D Tytell; Donald E Ingber
Journal:  Nat Rev Mol Cell Biol       Date:  2009-01       Impact factor: 94.444

6.  Locomotion without a brain: physical reservoir computing in tensegrity structures.

Authors:  K Caluwaerts; M D'Haene; D Verstraeten; B Schrauwen
Journal:  Artif Life       Date:  2012-11-27       Impact factor: 0.667

7.  Modeling of caterpillar crawl using novel tensegrity structures.

Authors:  O Orki; A Ayali; O Shai; U Ben-Hanan
Journal:  Bioinspir Biomim       Date:  2012-08-08       Impact factor: 2.956

8.  Mechanisms of frequency and pattern control in the neural rhythm generators.

Authors:  K Matsuoka
Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

Review 9.  Cellular tensegrity: defining new rules of biological design that govern the cytoskeleton.

Authors:  D E Ingber
Journal:  J Cell Sci       Date:  1993-03       Impact factor: 5.285

10.  A soft body as a reservoir: case studies in a dynamic model of octopus-inspired soft robotic arm.

Authors:  Kohei Nakajima; Helmut Hauser; Rongjie Kang; Emanuele Guglielmino; Darwin G Caldwell; Rolf Pfeifer
Journal:  Front Comput Neurosci       Date:  2013-07-09       Impact factor: 2.380

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  11 in total

Review 1.  Fundamentals of soft robot locomotion.

Authors:  M Calisti; G Picardi; C Laschi
Journal:  J R Soc Interface       Date:  2017-05       Impact factor: 4.118

2.  Adaptive and Resilient Soft Tensegrity Robots.

Authors:  John Rieffel; Jean-Baptiste Mouret
Journal:  Soft Robot       Date:  2018-04-17       Impact factor: 8.071

3.  Information processing via physical soft body.

Authors:  Kohei Nakajima; Helmut Hauser; Tao Li; Rolf Pfeifer
Journal:  Sci Rep       Date:  2015-05-27       Impact factor: 4.379

4.  Programmable Deployment of Tensegrity Structures by Stimulus-Responsive Polymers.

Authors:  Ke Liu; Jiangtao Wu; Glaucio H Paulino; H Jerry Qi
Journal:  Sci Rep       Date:  2017-06-14       Impact factor: 4.379

5.  Morphological Properties of Mass-Spring Networks for Optimal Locomotion Learning.

Authors:  Gabriel Urbain; Jonas Degrave; Benonie Carette; Joni Dambre; Francis Wyffels
Journal:  Front Neurorobot       Date:  2017-03-27       Impact factor: 2.650

6.  Rolling Locomotion of Cable-Driven Soft Spherical Tensegrity Robots.

Authors:  Kyunam Kim; Adrian K Agogino; Alice M Agogino
Journal:  Soft Robot       Date:  2020-02-07       Impact factor: 8.071

7.  Phase Changing Materials-Based Variable-Stiffness Tensegrity Structures.

Authors:  Davide Zappetti; Seung Hee Jeong; Jun Shintake; Dario Floreano
Journal:  Soft Robot       Date:  2019-12-17       Impact factor: 8.071

8.  Natural quantum reservoir computing for temporal information processing.

Authors:  Yudai Suzuki; Qi Gao; Ken C Pradel; Kenji Yasuoka; Naoki Yamamoto
Journal:  Sci Rep       Date:  2022-01-25       Impact factor: 4.379

9.  Skeletonizing the Dynamics of Soft Continuum Body from Video.

Authors:  Katsuma Inoue; Yasuo Kuniyoshi; Katsushi Kagaya; Kohei Nakajima
Journal:  Soft Robot       Date:  2021-02-18       Impact factor: 7.784

10.  Reward-Modulated Hebbian Plasticity as Leverage for Partially Embodied Control in Compliant Robotics.

Authors:  Jeroen Burms; Ken Caluwaerts; Joni Dambre
Journal:  Front Neurorobot       Date:  2015-08-17       Impact factor: 2.650

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