Design and modeling of a novel soft parallel robot driven by endoskeleton pneumatic artificial muscles

Peng CHEN, Tingwen YUAN, Yi YU, Yuwang LIU

PDF(6696 KB)
PDF(6696 KB)
Front. Mech. Eng. ›› 2022, Vol. 17 ›› Issue (2) : 22. DOI: 10.1007/s11465-022-0678-2
RESEARCH ARTICLE
RESEARCH ARTICLE

Design and modeling of a novel soft parallel robot driven by endoskeleton pneumatic artificial muscles

Author information +
History +

Abstract

Owing to their inherent great flexibility, good compliance, excellent adaptability, and safe interactivity, soft robots have shown great application potential. The advantages of light weight, high efficiency, non-polluting characteristic, and environmental adaptability provide pneumatic soft robots an important position in the field of soft robots. In this paper, a soft robot with 10 soft modules, comprising three uniformly distributed endoskeleton pneumatic artificial muscles, was developed. The robot can achieve flexible motion in 3D space. A novel kinematic modeling method for variable-curvature soft robots based on the minimum energy method was investigated, which can accurately and efficiently analyze forward and inverse kinematics. Experiments show that the robot can be controlled to move to the desired position based on the proposed model. The prototype and modeling method can provide a new perspective for soft robot design, modeling, and control.

Graphical abstract

Keywords

pneumatic artificial muscles / soft robot / modeling approach / principle of virtual work / external load

Cite this article

Download citation ▾
Peng CHEN, Tingwen YUAN, Yi YU, Yuwang LIU. Design and modeling of a novel soft parallel robot driven by endoskeleton pneumatic artificial muscles. Front. Mech. Eng., 2022, 17(2): 22 https://doi.org/10.1007/s11465-022-0678-2

References

[1]
RusD, TolleyM T. Design, fabrication and control of soft robots. Nature, 2015, 521( 7553): 467– 475
CrossRef Google scholar
[2]
LiuT L, XuW F, YangT W, LiY M. A hybrid active and passive cable-driven segmented redundant manipulator: design, kinematics, and planning. IEEE/ASME Transactions on Mechatronics, 2021, 26( 2): 930– 942
CrossRef Google scholar
[3]
GuanQ H, SunJ, LiuY J, WereleyN M, LengJ S. Novel bending and helical extensile/contractile pneumatic artificial muscles inspired by elephant trunk. Soft Robotics, 2020, 7( 5): 597– 614
CrossRef Google scholar
[4]
AubinC A, ChoudhuryS, JerchR, ArcherL A, PikulJ H, ShepherdR F. Electrolytic vascular systems for energy-dense robots. Nature, 2019, 571( 7763): 51– 57
CrossRef Google scholar
[5]
KimY, YukH, ZhaoR K, ChesterS A, ZhaoX H. Printing ferromagnetic domains for untethered fast-transforming soft materials. Nature, 2018, 558( 7709): 274– 279
CrossRef Google scholar
[6]
LiG R, ChenX P, ZhouF H, LiangY M, XiaoY H, CaoX N, ZhangZ, ZhangM Q, WuB S, YinS Y, XuY, FanH B, ChenZ, SongW, YangW J, PanB B, HouJ Y, ZouW F, HeS P, YangX X, MaoG Y, JiaZ, ZhouH F, LiT F, QuS X, XuZ B, HuangZ L, LuoY W, XieT, GuJ, ZhuS Q, YangW. Self-powered soft robot in the Mariana Trench. Nature, 2021, 591( 7848): 66– 71
CrossRef Google scholar
[7]
ParkS J, GazzolaM, ParkK S, ParkS, Di SantoV, BlevinsE L, LindJ U, CampbellP H, DauthS, CapulliA K, PasqualiniF S, AhnS, ChoA, YuanH Y, MaozB M, VijaykumarR, ChoiJ W, DeisserothK, LauderG V, MahadevanL, ParkerK K. Phototactic guidance of a tissue-engineered soft-robotic ray. Science, 2016, 353( 6295): 158– 162
CrossRef Google scholar
[8]
WehnerM, TrubyR L, FitzgeraldD J, MosadeghB, WhitesidesG M, LewisJ A, WoodR J. An integrated design and fabrication strategy for entirely soft, autonomous robots. Nature, 2016, 536( 7617): 451– 455
CrossRef Google scholar
[9]
ZhuM J, DoT N, HawkesE, VisellY. Fluidic fabric muscle sheets for wearable and soft robotics. Soft Robotics, 2020, 7( 2): 179– 197
CrossRef Google scholar
[10]
CappelloL, GallowayK C, SananS, WagnerD A, GranberryR, EngelhardtS, HaufeF L, PeisnerJ D, WalshC J. Exploiting textile mechanical anisotropy for fabric-based pneumatic actuators. Soft Robotics, 2018, 5( 5): 662– 674
CrossRef Google scholar
[11]
TolleyM T, ShepherdR F, MosadeghB, GallowayK C, WehnerM, KarpelsonM, WoodR J, WhitesidesG M. A resilient, untethered soft robot. Soft Robotics, 2014, 1( 3): 213– 223
CrossRef Google scholar
[12]
KatzschmannR K, MarcheseA D, RusD. Autonomous object manipulation using a soft planar grasping manipulator. Soft Robotics, 2015, 2( 4): 155– 164
CrossRef Google scholar
[13]
PeeleB N, WallinT J, ZhaoH C, ShepherdR F. 3D printing antagonistic systems of artificial muscle using projection stereolithography. Bioinspiration & Biomimetics, 2015, 10( 5): 055003
CrossRef Google scholar
[14]
TerrynS, BrancartJ, LefeberD, Van AsscheG, VanderborghtB. Self-healing soft pneumatic robots. Science Robotics, 2017, 2( 9): eaan4628
CrossRef Google scholar
[15]
LiS Y, WangK W. Fluidic origami: a plant-inspired adaptive structure with shape morphing and stiffness tuning. Smart Materials and Structures, 2015, 24( 10): 105031
CrossRef Google scholar
[16]
RobertsonM A, PaikJ. New soft robots really suck: vacuum-powered systems empower diverse capabilities. Science Robotics, 2017, 2( 9): eaan6357
CrossRef Google scholar
[17]
GorissenB, ReynaertsD, KonishiS, YoshidaK, KimJ W, De VolderM. Elastic inflatable actuators for soft robotic applications. Advanced Materials, 2017, 29( 43): 1604977
CrossRef Google scholar
[18]
KimW, ByunJ, KimJ K, ChoiW Y, JakobsenK, JakobsenJ, LeeD Y, ChoK J. Bioinspired dual-morphing stretchable origami. Science Robotics, 2019, 4( 36): eaay3493
CrossRef Google scholar
[19]
MartinezR V, FishC R, ChenX, WhitesidesG M. Elastomeric origami: programmable paper-elastomer composites as pneumatic actuators. Advanced Functional Materials, 2012, 22( 7): 1376– 1384
CrossRef Google scholar
[20]
YangD, VermaM S, SoJ H, MosadeghB, KeplingerC, LeeB, KhashaiF, LossnerE, SuoZ G, WhitesidesG M. Buckling pneumatic linear actuators inspired by muscle. Advanced Materials Technologies, 2016, 1( 3): 1600055
CrossRef Google scholar
[21]
JiaoZ D, JiC, ZouJ, YangH Y, PanM. Vacuum-powered soft pneumatic twisting actuators to empower new capabilities for soft robots. Advanced Materials Technologies, 2019, 4( 1): 1800429
CrossRef Google scholar
[22]
LiS G, VogtD M, RusD, WoodR J. Fluid-driven origami-inspired artificial muscles. PNAS, 2017, 114( 50): 13132– 13137
CrossRef Google scholar
[23]
DeshpandeA R, TseZ T H, RenH L. Origami-inspired bi-directional soft pneumatic actuator with integrated variable stiffness mechanism. In: Proceedings of the 2017 18th International Conference on Advanced Robotics (ICAR). IEEE, 2017, 417– 421
CrossRef Google scholar
[24]
LeeJ G, RodrigueH. Origami-based vacuum pneumatic artificial muscles with large contraction ratios. Soft Robotics, 2019, 6( 1): 109– 117
CrossRef Google scholar
[25]
RendaF, BoyerF, DiasJ, SeneviratneL. Discrete Cosserat approach for multisection soft manipulator dynamics. IEEE Transactions on Robotics, 2018, 34( 6): 1518– 1533
CrossRef Google scholar
[26]
Burgner-KahrsJ, RuckerD C, ChosetH. Continuum robots for medical applications: a survey. IEEE Transactions on Robotics, 2015, 31( 6): 1261– 1280
CrossRef Google scholar
[27]
WebsterR J III, JonesB A. Design and kinematic modeling of constant curvature continuum robots: a review. The International Journal of Robotics Research, 2010, 29( 13): 1661– 1683
CrossRef Google scholar
[28]
SoflaM S, SadighM J, ZareinejadM. Design and dynamic modeling of a continuum and compliant manipulator with large workspace. Mechanism and Machine Theory, 2021, 164 : 104413
CrossRef Google scholar
[29]
TanN, GuX Y, RenH L. Design, characterization and applications of a novel soft actuator driven by flexible shafts. Mechanism and Machine Theory, 2018, 122 : 197– 218
CrossRef Google scholar
[30]
Garriga-CasanovasA, Rodriguez y BaenaF. Complete follow-the-leader kinematics using concentric tube robots. The International Journal of Robotics Research, 2018, 37( 1): 197– 222
CrossRef Google scholar
[31]
SchillerL, SeibelA, SchlattmannJ. A lightweight simulation model for soft robot’s locomotion and its application to trajectory optimization. IEEE Robotics and Automation Letters, 2020, 5( 2): 1199– 1206
CrossRef Google scholar
[32]
YangC H, GengS N, WalkerI, BransonD T, LiuJ G, DaiJ S, KangR J. Geometric constraint-based modeling and analysis of a novel continuum robot with shape memory alloy initiated variable stiffness. International Journal of Robotics Research, 2020, 39( 14): 1620– 1634
CrossRef Google scholar
[33]
ZengW H, YanJ Y, YanK, HuangX, WangX F, ChengS S. Modeling a symmetrically-notched continuum neurosurgical robot with non-constant curvature and superelastic property. IEEE Robotics and Automation Letters, 2021, 6( 4): 6489– 6496
CrossRef Google scholar
[34]
SinghI, AmaraY, MelinguiA, Mani PathakP, MerzoukiR. Modeling of continuum manipulators using pythagorean hodograph curves. Soft Robotics, 2018, 5( 4): 425– 442
CrossRef Google scholar
[35]
GodageI S, Medrano-CerdaG A, BransonD T, GuglielminoE, CaldwellD G. Modal kinematics for multisection continuum arms. Bioinspiration & Biomimetics, 2015, 10( 3): 035002
CrossRef Google scholar
[36]
YangJ Z, PengH J, ZhouW Y, ZhangJ, WuZ G. A modular approach for dynamic modeling of multisegment continuum robots. Mechanism and Machine Theory, 2021, 165 : 104429
CrossRef Google scholar
[37]
YuanH, ZhouL L, XuW F. A comprehensive static model of cable-driven multi-section continuum robots considering friction effect. Mechanism and Machine Theory, 2019, 135 : 130– 149
CrossRef Google scholar
[38]
HuangX J, ZouJ, GuG Y. Kinematic modeling and control of variable curvature soft continuum robots. IEEE/ASME Transactions on Mechatronics, 2021, 26( 6): 3175– 3185
CrossRef Google scholar
[39]
BiezeT M, LargilliereF, KruszewskiA, ZhangZ K, MerzoukiR, DuriezC. Finite element method-based kinematics and closed-loop control of soft, continuum manipulators. Soft Robotics, 2018, 5( 3): 348– 364
CrossRef Google scholar
[40]
SadatiS M H, ShivaA, RensonL, RuckerC, AlthoeferK, NanayakkaraT, BergelesC, HauserH, WalkerI D. Reduced order vs. discretized lumped system models with absolute and relative states for continuum manipulators. In: Proceedings of Royal Statistics Society International Conference. Belfast, 2019, 1– 10
[41]
GodageI S, WirzR, WalkerI D, WebsterIIIR J. Accurate and efficient dynamics for variable-length continuum arms: a center of gravity approach. Soft Robotics, 2015, 2( 3): 96– 106
CrossRef Google scholar

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. 51975566, 61821005, and U1908214), and the Key Research Program of Frontier Sciences, CAS, China (Grant No. ZDBS-LY-JSC011).

RIGHTS & PERMISSIONS

2022 Higher Education Press
AI Summary AI Mindmap
PDF(6696 KB)

Accesses

Citations

Detail

Sections
Recommended

/