Neural Network-Based Active Load-Sensing Scheme and Stiffness Adjustment for Pneumatic Soft Actuators for Minimally Invasive Surgery Support

To provide a stable surgical view in Minimally Invasive Surgery (MIS), it is necessary for a flexible endoscope applied in MIS to have adjustable stiffness to resist different external loads from surrounding organs and tissues. Pneumatic soft actuators are expected to fulfill this role, since they c...

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Main Authors: Yuxi Lu, Zhongchao Zhou, Shota Kokubu, Ruian Qin, Pablo E. Tortós Vinocour, Wenwei Yu
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/2/833
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author Yuxi Lu
Zhongchao Zhou
Shota Kokubu
Ruian Qin
Pablo E. Tortós Vinocour
Wenwei Yu
author_facet Yuxi Lu
Zhongchao Zhou
Shota Kokubu
Ruian Qin
Pablo E. Tortós Vinocour
Wenwei Yu
author_sort Yuxi Lu
collection DOAJ
description To provide a stable surgical view in Minimally Invasive Surgery (MIS), it is necessary for a flexible endoscope applied in MIS to have adjustable stiffness to resist different external loads from surrounding organs and tissues. Pneumatic soft actuators are expected to fulfill this role, since they could feed the endoscope with an internal access channel and adjust their stiffness via an antagonistic mechanism. For that purpose, it is essential to estimate the external load. In this study, we proposed a neural network (NN)-based active load-sensing scheme and stiffness adjustment for a soft actuator for MIS support with antagonistic chambers for three degrees of freedom (DoFs) of control. To deal with the influence of the nonlinearity of the soft actuating system and uncertainty of the interaction between the soft actuator and its environment, an environment exploration strategy was studied for improving the robustness of sensing. Moreover, a NN-based inverse dynamics model for controlling the stiffness of the soft actuator with different flexible endoscopes was proposed too. The results showed that the exploration strategy with different sequence lengths improved the estimation accuracy of external loads in different conditions. The proposed method for external load exploration and inverse dynamics model could be used for in-depth studies of stiffness control of soft actuators for MIS support.
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spelling doaj.art-8df18d7d17ee4f4f8c656fb941aa60f42023-12-01T00:28:23ZengMDPI AGSensors1424-82202023-01-0123283310.3390/s23020833Neural Network-Based Active Load-Sensing Scheme and Stiffness Adjustment for Pneumatic Soft Actuators for Minimally Invasive Surgery SupportYuxi Lu0Zhongchao Zhou1Shota Kokubu2Ruian Qin3Pablo E. Tortós Vinocour4Wenwei Yu5Department of Medical Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, JapanDepartment of Medical Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, JapanDepartment of Medical Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, JapanDepartment of Medical Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, JapanDepartment of Medical Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, JapanDepartment of Medical Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, JapanTo provide a stable surgical view in Minimally Invasive Surgery (MIS), it is necessary for a flexible endoscope applied in MIS to have adjustable stiffness to resist different external loads from surrounding organs and tissues. Pneumatic soft actuators are expected to fulfill this role, since they could feed the endoscope with an internal access channel and adjust their stiffness via an antagonistic mechanism. For that purpose, it is essential to estimate the external load. In this study, we proposed a neural network (NN)-based active load-sensing scheme and stiffness adjustment for a soft actuator for MIS support with antagonistic chambers for three degrees of freedom (DoFs) of control. To deal with the influence of the nonlinearity of the soft actuating system and uncertainty of the interaction between the soft actuator and its environment, an environment exploration strategy was studied for improving the robustness of sensing. Moreover, a NN-based inverse dynamics model for controlling the stiffness of the soft actuator with different flexible endoscopes was proposed too. The results showed that the exploration strategy with different sequence lengths improved the estimation accuracy of external loads in different conditions. The proposed method for external load exploration and inverse dynamics model could be used for in-depth studies of stiffness control of soft actuators for MIS support.https://www.mdpi.com/1424-8220/23/2/833NN-based active load-sensing schemeexploration strategysoft actuator in MISadjust stiffness
spellingShingle Yuxi Lu
Zhongchao Zhou
Shota Kokubu
Ruian Qin
Pablo E. Tortós Vinocour
Wenwei Yu
Neural Network-Based Active Load-Sensing Scheme and Stiffness Adjustment for Pneumatic Soft Actuators for Minimally Invasive Surgery Support
Sensors
NN-based active load-sensing scheme
exploration strategy
soft actuator in MIS
adjust stiffness
title Neural Network-Based Active Load-Sensing Scheme and Stiffness Adjustment for Pneumatic Soft Actuators for Minimally Invasive Surgery Support
title_full Neural Network-Based Active Load-Sensing Scheme and Stiffness Adjustment for Pneumatic Soft Actuators for Minimally Invasive Surgery Support
title_fullStr Neural Network-Based Active Load-Sensing Scheme and Stiffness Adjustment for Pneumatic Soft Actuators for Minimally Invasive Surgery Support
title_full_unstemmed Neural Network-Based Active Load-Sensing Scheme and Stiffness Adjustment for Pneumatic Soft Actuators for Minimally Invasive Surgery Support
title_short Neural Network-Based Active Load-Sensing Scheme and Stiffness Adjustment for Pneumatic Soft Actuators for Minimally Invasive Surgery Support
title_sort neural network based active load sensing scheme and stiffness adjustment for pneumatic soft actuators for minimally invasive surgery support
topic NN-based active load-sensing scheme
exploration strategy
soft actuator in MIS
adjust stiffness
url https://www.mdpi.com/1424-8220/23/2/833
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