Torque-Sensing Soft Bellows Actuator for Multi-Fingered Hands Taking Bellow’s Buckling Into Consideration

Soft multi-fingered robotic hands are safe in human environments and can perform human-like behaviors. However, structural complexities and nonlinearities in soft actuators complicate torque sensing, a critical function for dexterous object manipulation. This study introduces a torque-sensing finger...

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Main Authors: Kazuki Higashi, Keisuke Koyama, Ryuta Ozawa, Kazuyuki Nagata, Takuya Kiyokawa, Weiwei Wan, Kensuke Harada
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10319468/
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author Kazuki Higashi
Keisuke Koyama
Ryuta Ozawa
Kazuyuki Nagata
Takuya Kiyokawa
Weiwei Wan
Kensuke Harada
author_facet Kazuki Higashi
Keisuke Koyama
Ryuta Ozawa
Kazuyuki Nagata
Takuya Kiyokawa
Weiwei Wan
Kensuke Harada
author_sort Kazuki Higashi
collection DOAJ
description Soft multi-fingered robotic hands are safe in human environments and can perform human-like behaviors. However, structural complexities and nonlinearities in soft actuators complicate torque sensing, a critical function for dexterous object manipulation. This study introduces a torque-sensing finger joint mechanism using a soft actuator composed of water-powered hydraulic bellows. Two real-time torque estimation methods are proposed, developed, and validated specifically for cases in which buckling occurs in the bellows, a situation that typically presents significant estimation challenges. The buckling spring model for torque estimation, explicitly considering the buckling effect, is a linear model that considers two elastic forces for the pressure and external force. The multi-layer perceptron model for torque estimation considers the nonlinearity of the actuator. The experimental results show that both methods can estimate the torque in real-time with high accuracy. The torque control for grasping fragile objects has also been examined in real-world scenarios. The findings indicate that, compared to the approach without torque control, successful and safe manipulation of the target objects is accomplished without causing detrimental deformation.
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spelling doaj.art-ab6f6b25e0db45eb98fd82d06fbc1a8c2023-11-24T00:01:37ZengIEEEIEEE Access2169-35362023-01-011112925812926810.1109/ACCESS.2023.333338510319468Torque-Sensing Soft Bellows Actuator for Multi-Fingered Hands Taking Bellow’s Buckling Into ConsiderationKazuki Higashi0https://orcid.org/0000-0002-2696-6992Keisuke Koyama1Ryuta Ozawa2https://orcid.org/0000-0002-5605-6316Kazuyuki Nagata3Takuya Kiyokawa4https://orcid.org/0000-0002-8555-8489Weiwei Wan5https://orcid.org/0000-0002-0058-2819Kensuke Harada6https://orcid.org/0000-0002-7576-756XGraduate School of Engineering Science, Osaka University, Osaka, Toyonaka, JapanGraduate School of Engineering Science, Osaka University, Osaka, Toyonaka, JapanSchool of Science and Technology, Meiji University, Tokyo, JapanCenter for Future Design Engineering, Reitaku University, Chiba, JapanGraduate School of Engineering Science, Osaka University, Osaka, Toyonaka, JapanGraduate School of Engineering Science, Osaka University, Osaka, Toyonaka, JapanGraduate School of Engineering Science, Osaka University, Osaka, Toyonaka, JapanSoft multi-fingered robotic hands are safe in human environments and can perform human-like behaviors. However, structural complexities and nonlinearities in soft actuators complicate torque sensing, a critical function for dexterous object manipulation. This study introduces a torque-sensing finger joint mechanism using a soft actuator composed of water-powered hydraulic bellows. Two real-time torque estimation methods are proposed, developed, and validated specifically for cases in which buckling occurs in the bellows, a situation that typically presents significant estimation challenges. The buckling spring model for torque estimation, explicitly considering the buckling effect, is a linear model that considers two elastic forces for the pressure and external force. The multi-layer perceptron model for torque estimation considers the nonlinearity of the actuator. The experimental results show that both methods can estimate the torque in real-time with high accuracy. The torque control for grasping fragile objects has also been examined in real-world scenarios. The findings indicate that, compared to the approach without torque control, successful and safe manipulation of the target objects is accomplished without causing detrimental deformation.https://ieeexplore.ieee.org/document/10319468/Bucklingmulti-fingered handsoft bellows actuatortorque-sensing
spellingShingle Kazuki Higashi
Keisuke Koyama
Ryuta Ozawa
Kazuyuki Nagata
Takuya Kiyokawa
Weiwei Wan
Kensuke Harada
Torque-Sensing Soft Bellows Actuator for Multi-Fingered Hands Taking Bellow’s Buckling Into Consideration
IEEE Access
Buckling
multi-fingered hand
soft bellows actuator
torque-sensing
title Torque-Sensing Soft Bellows Actuator for Multi-Fingered Hands Taking Bellow’s Buckling Into Consideration
title_full Torque-Sensing Soft Bellows Actuator for Multi-Fingered Hands Taking Bellow’s Buckling Into Consideration
title_fullStr Torque-Sensing Soft Bellows Actuator for Multi-Fingered Hands Taking Bellow’s Buckling Into Consideration
title_full_unstemmed Torque-Sensing Soft Bellows Actuator for Multi-Fingered Hands Taking Bellow’s Buckling Into Consideration
title_short Torque-Sensing Soft Bellows Actuator for Multi-Fingered Hands Taking Bellow’s Buckling Into Consideration
title_sort torque sensing soft bellows actuator for multi fingered hands taking bellow x2019 s buckling into consideration
topic Buckling
multi-fingered hand
soft bellows actuator
torque-sensing
url https://ieeexplore.ieee.org/document/10319468/
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