Type
ArticleAuthors
Elatab, Nazek
Mishra, Rishabh B.
Al-Modaf, Fhad
Joharji, Lana
Alsharif, Aljohara A.
Alamoudi, Haneen
Diaz, Marlon
Qaiser, Nadeem

Hussain, Muhammad Mustafa

KAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Integrated Nanotechnology Lab
Mechanical Engineering Program
Physical Science and Engineering (PSE) Division
mmh LabsElectrical Engineering, Computer Electrical Mathematical Science and Engineering DivisionKing Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia
Date
2020-08-23Online Publication Date
2020-08-23Print Publication Date
2020-10Submitted Date
2020-06-12Permanent link to this record
http://hdl.handle.net/10754/664810
Metadata
Show full item recordAbstract
Soft robotics technologies are paving the way toward robotic abilities which are vital for a wide range of applications, including manufacturing, manipulation, gripping, human–machine interaction, locomotion, and more. An essential component in a soft robot is the soft actuator which provides the system with a deformable body and allows it to interact with the environment to achieve a desired actuation pattern, such as locomotion. This Review article aims to provide researchers interested in the soft robotics field with a reference guide about the various state-of-the-art soft actuation methodologies that are developed with a wide range of stimuli including light, heat, applied electric and magnetic fields with a focus on their various applications in soft robotics. The underlying principles of the soft actuators are discussed with a focus on the resulting motion complexities, deformations, and multi-functionalities. Finally, various promising applications and examples of the different soft actuators are discussed in addition to their further development potential.Citation
El-Atab, N., Mishra, R. B., Al-Modaf, F., Joharji, L., Alsharif, A. A., Alamoudi, H., … Hussain, M. M. (2020). Soft Actuators for Soft Robotic Applications: A Review. Advanced Intelligent Systems, 2000128. doi:10.1002/aisy.202000128Sponsors
The authors acknowledge generous support of the King Abdullah University of Science and Technology (KAUST). The authors acknowledge Dr. Joanna M. Nassar, Dr. Galo A. Torres, Dr. Mohamed T. Ghoneim, Andres A. Aguirre-Pablo, Davide Priante, Dr. Jhonathan P. Rojas, Sigurdur T. Thoroddsen, and Prof. Boon S. Ooi who contributed to the “pause-embed-resume” data. The authors thank Kelly Rader for proof reading this manuscript.Publisher
WileyJournal
Advanced Intelligent SystemsAdditional Links
https://onlinelibrary.wiley.com/doi/abs/10.1002/aisy.202000128ae974a485f413a2113503eed53cd6c53
10.1002/aisy.202000128
Scopus Count
Except where otherwise noted, this item's license is described as This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.