Mishra, Rishabh B.
Alsharif, Aljohara A.
Hussain, Muhammad Mustafa
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical 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
Online Publication Date2020-08-23
Print Publication Date2020-10
Permanent link to this recordhttp://hdl.handle.net/10754/664810
MetadataShow full item record
AbstractSoft 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.
CitationEl-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.202000128
SponsorsThe 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.
JournalAdvanced Intelligent Systems
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.