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Bidirectional Double-Spring Pneumatic Artificial Muscle With Inductive Self-Sensing
This study proposes a bidirectional double-spring pneumatic artificial muscle (PAM) with inductive self-sensing for wearable robotic devices. The actuator structure, composed of commercially available latex and springs, enables a low-cost and consistent manufacturing process. Springs, which serve as...
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Published in: | IEEE robotics and automation letters 2023-12, Vol.8 (12), p.8160-8167 |
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creator | Cho, Yeonha Kim, Woojong Park, Hyunkyu Kim, Jung Na, Youngjin |
description | This study proposes a bidirectional double-spring pneumatic artificial muscle (PAM) with inductive self-sensing for wearable robotic devices. The actuator structure, composed of commercially available latex and springs, enables a low-cost and consistent manufacturing process. Springs, which serve as the skeleton of the actuator, were used to increase the stability and stiffness of the structure, as well as to embed a self-sensing ability using the inductance of the spring. The actuator design parameters were selected through simulations to prevent buckling while achieving a notable actuation performance. The bidirectional force characteristics of the actuator were evaluated through quasi-static experiments, and the inductance-based length-sensing performance was validated during both contraction and elongation. The need for self-sensing in bidirectional actuation was emphasized through closed-loop length control. The proposed actuator can potentially enable the development of lightweight and efficient wearable robotic devices with improved sensing and actuation capabilities. |
doi_str_mv | 10.1109/LRA.2023.3326660 |
format | article |
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The actuator structure, composed of commercially available latex and springs, enables a low-cost and consistent manufacturing process. Springs, which serve as the skeleton of the actuator, were used to increase the stability and stiffness of the structure, as well as to embed a self-sensing ability using the inductance of the spring. The actuator design parameters were selected through simulations to prevent buckling while achieving a notable actuation performance. The bidirectional force characteristics of the actuator were evaluated through quasi-static experiments, and the inductance-based length-sensing performance was validated during both contraction and elongation. The need for self-sensing in bidirectional actuation was emphasized through closed-loop length control. The proposed actuator can potentially enable the development of lightweight and efficient wearable robotic devices with improved sensing and actuation capabilities.</description><identifier>ISSN: 2377-3766</identifier><identifier>EISSN: 2377-3766</identifier><identifier>DOI: 10.1109/LRA.2023.3326660</identifier><identifier>CODEN: IRALC6</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Actuation ; Actuator design ; Actuators ; Artificial muscles ; Closed loops ; Control ; Design parameters ; Elongation ; Force ; Inductance ; Latex ; learning for soft robots ; modeling ; Robot sensing systems ; soft robot materials and design ; Soft robotics ; Soft sensors ; soft sensors and actuators ; Springs ; Wearable robots ; Wearable technology</subject><ispartof>IEEE robotics and automation letters, 2023-12, Vol.8 (12), p.8160-8167</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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The proposed actuator can potentially enable the development of lightweight and efficient wearable robotic devices with improved sensing and actuation capabilities.</description><subject>Actuation</subject><subject>Actuator design</subject><subject>Actuators</subject><subject>Artificial muscles</subject><subject>Closed loops</subject><subject>Control</subject><subject>Design parameters</subject><subject>Elongation</subject><subject>Force</subject><subject>Inductance</subject><subject>Latex</subject><subject>learning for soft robots</subject><subject>modeling</subject><subject>Robot sensing systems</subject><subject>soft robot materials and design</subject><subject>Soft robotics</subject><subject>Soft sensors</subject><subject>soft sensors and actuators</subject><subject>Springs</subject><subject>Wearable robots</subject><subject>Wearable technology</subject><issn>2377-3766</issn><issn>2377-3766</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpNkDtPwzAQgC0EElXpzsAQiTnFrzw8lvKqVAQiIEbLvZzBVZoUO0Hi3-OqHTrdDd930n2EXDI6ZYyqm-XbbMopF1MheJ7n9ISMuCiKVBR5fnq0n5NJCGtKKct4IVQ2ItWtq51H6F3Xmia564ZVg2m19a79Sl5bHDamd5DMfO-sAxeR5yFAg8mn67-TRVsPUf3FpMLGphW2IXoX5MyaJuDkMMfk4-H-ff6ULl8eF_PZMgWueJ9yqFUJRWYkZQBSGFMj2NUqU0qi4VygsRSYLGVhSyEtippLyGpVACtLKcWYXO_vbn33M2Do9bobfHwjaB6BUgmZs0jRPQW-C8Gj1fG5jfF_mlG9q6djPb2rpw_1onK1VxwiHuFcUZUx8Q-GkGtP</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Cho, Yeonha</creator><creator>Kim, Woojong</creator><creator>Park, Hyunkyu</creator><creator>Kim, Jung</creator><creator>Na, Youngjin</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Actuation Actuator design Actuators Artificial muscles Closed loops Control Design parameters Elongation Force Inductance Latex learning for soft robots modeling Robot sensing systems soft robot materials and design Soft robotics Soft sensors soft sensors and actuators Springs Wearable robots Wearable technology |
title | Bidirectional Double-Spring Pneumatic Artificial Muscle With Inductive Self-Sensing |
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