{"title":"带有微楔胶黏剂和sma驱动微棘的双黏附增强软夹持器","authors":"Chang Wang;Peijin Zi;Yang Luo;Bochao Song;Tao Zhang;Kun Xu;Xilun Ding","doi":"10.1109/LRA.2025.3588391","DOIUrl":null,"url":null,"abstract":"Soft grippers are highly valued for their adaptability and safety, but their inherent softness often leads to grasping failure under heavy loads. Most adhesion-enhanced grippers rely on single-adhesion strategies tailored for either smooth or rough surfaces. Lizards, however, effectively navigate in unstructured environments by seamlessly transitioning between different adhesion mechanisms based on surface conditions. Inspired by the hybrid adhesion strategies of geckos and chameleons, this study presents a bioinspired soft gripper that integrates microwedge dry adhesives and SMA-driven microspines. The microwedge adhesives provide controllable adhesion for smooth surfaces, while the SMA-driven microspines extend for rough-surface adhesion and retract to avoid interference. An optimization model was developed to determine optimal link dimensions, enhancing grasping performance in terms of force and radius. Experimental results on various surfaces validated its efficacy. Notably, the gripper with non-backed adhesives achieved 34.9 N payload and 260 mm grasping diameter, marking improvements of 209% and 117%, respectively, over the version without adhesives. In microspine mode, the gripper supported a 20.4 N payload and a 280 mm diameter. In tip clamping mode, the maximum payload reached 6.2 N when grasping a 2 cm block.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 9","pages":"8714-8721"},"PeriodicalIF":4.6000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Dual-Adhesion-Enhanced Soft Gripper With Microwedge Adhesives and SMA-Driven Microspines\",\"authors\":\"Chang Wang;Peijin Zi;Yang Luo;Bochao Song;Tao Zhang;Kun Xu;Xilun Ding\",\"doi\":\"10.1109/LRA.2025.3588391\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Soft grippers are highly valued for their adaptability and safety, but their inherent softness often leads to grasping failure under heavy loads. Most adhesion-enhanced grippers rely on single-adhesion strategies tailored for either smooth or rough surfaces. Lizards, however, effectively navigate in unstructured environments by seamlessly transitioning between different adhesion mechanisms based on surface conditions. Inspired by the hybrid adhesion strategies of geckos and chameleons, this study presents a bioinspired soft gripper that integrates microwedge dry adhesives and SMA-driven microspines. The microwedge adhesives provide controllable adhesion for smooth surfaces, while the SMA-driven microspines extend for rough-surface adhesion and retract to avoid interference. An optimization model was developed to determine optimal link dimensions, enhancing grasping performance in terms of force and radius. Experimental results on various surfaces validated its efficacy. Notably, the gripper with non-backed adhesives achieved 34.9 N payload and 260 mm grasping diameter, marking improvements of 209% and 117%, respectively, over the version without adhesives. In microspine mode, the gripper supported a 20.4 N payload and a 280 mm diameter. In tip clamping mode, the maximum payload reached 6.2 N when grasping a 2 cm block.\",\"PeriodicalId\":13241,\"journal\":{\"name\":\"IEEE Robotics and Automation Letters\",\"volume\":\"10 9\",\"pages\":\"8714-8721\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Robotics and Automation Letters\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11078139/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Robotics and Automation Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11078139/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
A Dual-Adhesion-Enhanced Soft Gripper With Microwedge Adhesives and SMA-Driven Microspines
Soft grippers are highly valued for their adaptability and safety, but their inherent softness often leads to grasping failure under heavy loads. Most adhesion-enhanced grippers rely on single-adhesion strategies tailored for either smooth or rough surfaces. Lizards, however, effectively navigate in unstructured environments by seamlessly transitioning between different adhesion mechanisms based on surface conditions. Inspired by the hybrid adhesion strategies of geckos and chameleons, this study presents a bioinspired soft gripper that integrates microwedge dry adhesives and SMA-driven microspines. The microwedge adhesives provide controllable adhesion for smooth surfaces, while the SMA-driven microspines extend for rough-surface adhesion and retract to avoid interference. An optimization model was developed to determine optimal link dimensions, enhancing grasping performance in terms of force and radius. Experimental results on various surfaces validated its efficacy. Notably, the gripper with non-backed adhesives achieved 34.9 N payload and 260 mm grasping diameter, marking improvements of 209% and 117%, respectively, over the version without adhesives. In microspine mode, the gripper supported a 20.4 N payload and a 280 mm diameter. In tip clamping mode, the maximum payload reached 6.2 N when grasping a 2 cm block.
期刊介绍:
The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.