An empirical model of soft bellows actuator

Abstract Soft robotics has emerged as a highly promising field, particularly for handling interactions in unstructured environments such as food factories and agricultural warehouses. This potential is largely attributed to the inherent flexibility and compliance of soft robots. A critical aspect in...

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Main Authors: Zhe Qiu, Shengyang Zhang, Yitong Xue, Yang Zhang, Yoshiki Mori, Shinichi Hirai, Sadao Kawamura, Zhongkui Wang
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-79084-w
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author Zhe Qiu
Shengyang Zhang
Yitong Xue
Yang Zhang
Yoshiki Mori
Shinichi Hirai
Sadao Kawamura
Zhongkui Wang
author_facet Zhe Qiu
Shengyang Zhang
Yitong Xue
Yang Zhang
Yoshiki Mori
Shinichi Hirai
Sadao Kawamura
Zhongkui Wang
author_sort Zhe Qiu
collection DOAJ
description Abstract Soft robotics has emerged as a highly promising field, particularly for handling interactions in unstructured environments such as food factories and agricultural warehouses. This potential is largely attributed to the inherent flexibility and compliance of soft robots. A critical aspect in the development of these robots lies in the selection and utilization of appropriate soft actuators and materials. Nevertheless, the modeling of soft robots presents considerable challenges owing to their intricate properties and continuum nature. In this article, we focus on the design and modeling of a three dimensional (3D) printed soft bellows actuator. The primary objective is to assess its efficacy in creating suitable soft grippers for handling various practical products. We propose an empirical model to predict the output forces of the soft bellows actuator. This model comprehensively integrates parameters such as bellows geometry and material properties, thereby providing valuable insights for the actuator’s design and control. To ascertain the precision of our model, we conducted a series of finite element simulations considering different designed parameters of the bellows, and performed experimental validations using 3D printed bellows actuators. The empirical model demonstrated high accuracy in predicting the output forces of the bellows actuator, with average absolute and relative errors of $$1.35\,$$ 1.35 N and $$3.5\%$$ 3.5 % , respectively. As an application, a robotic gripper with two parallel bellows actuators was developed, and its grasping force was validated using the empirical model. Building on this, a robotic gripper incorporating three bellows actuators was designed and fabricated based on the empirical model, and pick-and-place experiments were effectively conducted for handling a range of products.
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spelling doaj-art-caf01d5ce7674188b1b9db9721889f022025-08-20T02:22:26ZengNature PortfolioScientific Reports2045-23222024-11-0114111910.1038/s41598-024-79084-wAn empirical model of soft bellows actuatorZhe Qiu0Shengyang Zhang1Yitong Xue2Yang Zhang3Yoshiki Mori4Shinichi Hirai5Sadao Kawamura6Zhongkui Wang7Department of Robotics, Ritsumeikan UniversityDepartment of Robotics, Ritsumeikan UniversityDepartment of Robotics, Ritsumeikan UniversityDepartment of Robotics, Ritsumeikan UniversityDepartment of Information Science and Engineering, Ritsumeikan UniversityDepartment of Robotics, Ritsumeikan UniversityRitsumeikan Global Innovation Research Organization, Ritsumeikan UniversityDepartment of Robotics, Ritsumeikan UniversityAbstract Soft robotics has emerged as a highly promising field, particularly for handling interactions in unstructured environments such as food factories and agricultural warehouses. This potential is largely attributed to the inherent flexibility and compliance of soft robots. A critical aspect in the development of these robots lies in the selection and utilization of appropriate soft actuators and materials. Nevertheless, the modeling of soft robots presents considerable challenges owing to their intricate properties and continuum nature. In this article, we focus on the design and modeling of a three dimensional (3D) printed soft bellows actuator. The primary objective is to assess its efficacy in creating suitable soft grippers for handling various practical products. We propose an empirical model to predict the output forces of the soft bellows actuator. This model comprehensively integrates parameters such as bellows geometry and material properties, thereby providing valuable insights for the actuator’s design and control. To ascertain the precision of our model, we conducted a series of finite element simulations considering different designed parameters of the bellows, and performed experimental validations using 3D printed bellows actuators. The empirical model demonstrated high accuracy in predicting the output forces of the bellows actuator, with average absolute and relative errors of $$1.35\,$$ 1.35 N and $$3.5\%$$ 3.5 % , respectively. As an application, a robotic gripper with two parallel bellows actuators was developed, and its grasping force was validated using the empirical model. Building on this, a robotic gripper incorporating three bellows actuators was designed and fabricated based on the empirical model, and pick-and-place experiments were effectively conducted for handling a range of products.https://doi.org/10.1038/s41598-024-79084-wSoft roboticsPneumatic actuatorBellows actuator3D printingEmpirical modelRobotic gripper
spellingShingle Zhe Qiu
Shengyang Zhang
Yitong Xue
Yang Zhang
Yoshiki Mori
Shinichi Hirai
Sadao Kawamura
Zhongkui Wang
An empirical model of soft bellows actuator
Scientific Reports
Soft robotics
Pneumatic actuator
Bellows actuator
3D printing
Empirical model
Robotic gripper
title An empirical model of soft bellows actuator
title_full An empirical model of soft bellows actuator
title_fullStr An empirical model of soft bellows actuator
title_full_unstemmed An empirical model of soft bellows actuator
title_short An empirical model of soft bellows actuator
title_sort empirical model of soft bellows actuator
topic Soft robotics
Pneumatic actuator
Bellows actuator
3D printing
Empirical model
Robotic gripper
url https://doi.org/10.1038/s41598-024-79084-w
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