2022
DOI: 10.1109/access.2022.3204652
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Modeling Fabric-Type Actuator Using Point Clouds by Deep Learning

Abstract: Flexible actuators are popular in the consumer and medical fields because of their flexibility and compliance. However, they are typically difficult to model because of their viscoelasticity and nonlinearity. This letter proposes a method for correcting the deformation of the simulated flexible robots to make it similar to the deformation of real robots using point clouds by deep learning. Long shortterm memory (LSTM) can simulate the next frame of actuator deformation from the previous frames of deformations.… Show more

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Cited by 23 publications
(13 citation statements)
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References 54 publications
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“…In addition to the above fields, researchers have been exploring the application of deep learning point cloud registration technology in other fields in recent years (Peng et al, 2022 ; Mao et al, 2023 ).…”
Section: Applicationsmentioning
confidence: 99%
“…In addition to the above fields, researchers have been exploring the application of deep learning point cloud registration technology in other fields in recent years (Peng et al, 2022 ; Mao et al, 2023 ).…”
Section: Applicationsmentioning
confidence: 99%
“…The mechanism uses a high electrical voltage to induce dynamic motion in a fluid medium, converting electrical energy into mechanical output. EHD pumps are generally quieter and smaller than high-pressure gas-driven soft robots such as [ 137 , 138 , 139 ]. For present applications in soft pumps, EHD pumps using the ion-drag working mode represent the primary type owing to high-flow rates and relatively simple design [ 140 , 141 ].…”
Section: Recent Progressmentioning
confidence: 99%
“…The mechanism uses a high electrical voltage to induce dynamic motion in a fluid medium, converting electrical energy into a mechanical output. EHD pumps are generally quieter and smaller than high-pressure gas-driven soft robots such as [138][139][140]. For present applications in soft pumps, the EHD using the ion-drag working mode is the primary type because of high flow rate and relatively simple design [141,142].…”
Section: Soft Roboticsmentioning
confidence: 99%