Please use this identifier to cite or link to this item: https://doi.org/10.3390/robotics6040034
DC FieldValue
dc.titlePropulsion-based soft robotic actuation
dc.contributor.authorChua, M.C.H
dc.contributor.authorYeow, R.C.H
dc.date.accessioned2020-11-17T04:35:45Z
dc.date.available2020-11-17T04:35:45Z
dc.date.issued2017
dc.identifier.citationChua, M.C.H, Yeow, R.C.H (2017). Propulsion-based soft robotic actuation. Robotics 6 (4) : 34. ScholarBank@NUS Repository. https://doi.org/10.3390/robotics6040034
dc.identifier.issn2218-6581
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/183485
dc.description.abstractThe use of air propulsion to drive limb motion in soft robotics has been a largely untapped field even though the technology has been around since the 1700s. Air propulsion can generate greater degrees of motion in limb actuators compared to widely-experimented pneumatic actuators operating on expandable air channels, which are limited by air pressure input, minimum size and cyclic fatigue. To demonstrate the application of air propulsion in soft robotics motion, we developed a 3D-printed, tri-pedal, soft, air-driven robot that can perform biomimetic motions such as flexion and extension of limbs, crawling, rotation, grasping, kicking and picking of objects. To accomplish air-propelled actuation, milli-scale channels are incorporated throughout each limb that guides the pressurized air inflow to outlets of different directions. A Finite Element Model (FEM) approach to simulate the bending response of the limb due to varying pressure is proposed and evaluated. This study introduces the potential of using air propulsion as an alternate form of soft body actuation for longer cyclic lifespan and increased maximum air pressure input. © 2017 by the authors.
dc.publisherMDPI
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.typeArticle
dc.contributor.departmentBIOMEDICAL ENGINEERING
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.description.doi10.3390/robotics6040034
dc.description.sourcetitleRobotics
dc.description.volume6
dc.description.issue4
dc.description.page34
dc.published.statePublished
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