A soft robot tactile fingertip for grasping surface posture detection
The application field of robots is gradually extending from traditional industrial manufacturing to commercial services, medical care and other fields. Stable grasping is a necessary prerequisite for various complex robot application scenarios. The existing research on robot tactile sensor mainly fo...
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Veröffentlicht in: | Smart materials and structures 2024-06, Vol.33 (6), p.65014 |
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creator | Wang, Haojie Zhou, Chao Li, Hangze Chen, Jinmiao Yu, Ping Chen, Changan Zhang, Youzhi |
description | The application field of robots is gradually extending from traditional industrial manufacturing to commercial services, medical care and other fields. Stable grasping is a necessary prerequisite for various complex robot application scenarios. The existing research on robot tactile sensor mainly focus on sensing tactile information, such as pressure or sliding. However, grasping surface posture as a tactile information that has a significant impact on the stability of grasping is often ignored. This study proposed a novel soft robot tactile fingertip that can not only detect the grasping force but also simultaneously detect the grasping surface posture. It is capable of recognizing 19 grasping surface postures in real-time using Mamdani fuzzy control method. The soft robot tactile fingertip has a simple structure and easy to fabricate at low cost. The application example of the two-finger mechanical hand using the soft tactile fingertip samples for stable grasping was demonstrated. This study shows that the soft robot tactile fingertip has great application prospects in the field of robot intelligent grasping. |
doi_str_mv | 10.1088/1361-665X/ad469f |
format | Article |
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Stable grasping is a necessary prerequisite for various complex robot application scenarios. The existing research on robot tactile sensor mainly focus on sensing tactile information, such as pressure or sliding. However, grasping surface posture as a tactile information that has a significant impact on the stability of grasping is often ignored. This study proposed a novel soft robot tactile fingertip that can not only detect the grasping force but also simultaneously detect the grasping surface posture. It is capable of recognizing 19 grasping surface postures in real-time using Mamdani fuzzy control method. The soft robot tactile fingertip has a simple structure and easy to fabricate at low cost. The application example of the two-finger mechanical hand using the soft tactile fingertip samples for stable grasping was demonstrated. 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Struct</addtitle><description>The application field of robots is gradually extending from traditional industrial manufacturing to commercial services, medical care and other fields. Stable grasping is a necessary prerequisite for various complex robot application scenarios. The existing research on robot tactile sensor mainly focus on sensing tactile information, such as pressure or sliding. However, grasping surface posture as a tactile information that has a significant impact on the stability of grasping is often ignored. This study proposed a novel soft robot tactile fingertip that can not only detect the grasping force but also simultaneously detect the grasping surface posture. It is capable of recognizing 19 grasping surface postures in real-time using Mamdani fuzzy control method. The soft robot tactile fingertip has a simple structure and easy to fabricate at low cost. The application example of the two-finger mechanical hand using the soft tactile fingertip samples for stable grasping was demonstrated. This study shows that the soft robot tactile fingertip has great application prospects in the field of robot intelligent grasping.</description><subject>fuzzy control</subject><subject>grasping surface posture</subject><subject>robot</subject><subject>soft</subject><subject>tactile fingertip</subject><issn>0964-1726</issn><issn>1361-665X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kM1LAzEUxIMouFbvHnPz4tpk89HkWEqtQsGLgreQTfLKlnazJOnB_95dKp709GCY3_BmELqn5IkSpeaUSVpLKT7n1nOp4QJVv9IlqoiWvKaLRl6jm5z3hFCqGK3QeolzhIJTbGPBxbrSHQKGrt-FVLoBQ0x4l2weRgXnUwLrAh5iLqcUsA8ljEDsb9EV2EMOdz93hj6e1--rl3r7tnldLbe1a6QoNWsE9wLkmKGFpEpwAgIW0LJWL4Dr1jnfKB3AM94K5ZoguFbOe-6IFSqwGSLnXJdizimAGVJ3tOnLUGKmGczU2UydzXmGEXk4I10czD6eUj8-aPIxG8aMNEQKQrkZ_OR8_MP5b_A3bZ1tlQ</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Wang, Haojie</creator><creator>Zhou, Chao</creator><creator>Li, Hangze</creator><creator>Chen, Jinmiao</creator><creator>Yu, Ping</creator><creator>Chen, Changan</creator><creator>Zhang, Youzhi</creator><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-7574-0455</orcidid></search><sort><creationdate>20240601</creationdate><title>A soft robot tactile fingertip for grasping surface posture detection</title><author>Wang, Haojie ; Zhou, Chao ; Li, Hangze ; Chen, Jinmiao ; Yu, Ping ; Chen, Changan ; Zhang, Youzhi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c265t-3254d5f6ace95618540f5f7fb3b97f49bccd289efd34b58c2e5498cdd4c0a58e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>fuzzy control</topic><topic>grasping surface posture</topic><topic>robot</topic><topic>soft</topic><topic>tactile fingertip</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Haojie</creatorcontrib><creatorcontrib>Zhou, Chao</creatorcontrib><creatorcontrib>Li, Hangze</creatorcontrib><creatorcontrib>Chen, Jinmiao</creatorcontrib><creatorcontrib>Yu, Ping</creatorcontrib><creatorcontrib>Chen, Changan</creatorcontrib><creatorcontrib>Zhang, Youzhi</creatorcontrib><collection>CrossRef</collection><jtitle>Smart materials and structures</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Haojie</au><au>Zhou, Chao</au><au>Li, Hangze</au><au>Chen, Jinmiao</au><au>Yu, Ping</au><au>Chen, Changan</au><au>Zhang, Youzhi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A soft robot tactile fingertip for grasping surface posture detection</atitle><jtitle>Smart materials and structures</jtitle><stitle>SMS</stitle><addtitle>Smart Mater. Struct</addtitle><date>2024-06-01</date><risdate>2024</risdate><volume>33</volume><issue>6</issue><spage>65014</spage><pages>65014-</pages><issn>0964-1726</issn><eissn>1361-665X</eissn><coden>SMSTER</coden><abstract>The application field of robots is gradually extending from traditional industrial manufacturing to commercial services, medical care and other fields. Stable grasping is a necessary prerequisite for various complex robot application scenarios. The existing research on robot tactile sensor mainly focus on sensing tactile information, such as pressure or sliding. However, grasping surface posture as a tactile information that has a significant impact on the stability of grasping is often ignored. This study proposed a novel soft robot tactile fingertip that can not only detect the grasping force but also simultaneously detect the grasping surface posture. It is capable of recognizing 19 grasping surface postures in real-time using Mamdani fuzzy control method. The soft robot tactile fingertip has a simple structure and easy to fabricate at low cost. The application example of the two-finger mechanical hand using the soft tactile fingertip samples for stable grasping was demonstrated. This study shows that the soft robot tactile fingertip has great application prospects in the field of robot intelligent grasping.</abstract><pub>IOP Publishing</pub><doi>10.1088/1361-665X/ad469f</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-7574-0455</orcidid></addata></record> |
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subjects | fuzzy control grasping surface posture robot soft tactile fingertip |
title | A soft robot tactile fingertip for grasping surface posture detection |
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