基于被动控制的平面欠驱动软机械臂全身抓取策略

H. Chu, B. Caasenbrood, Mahboubeh Keyvanara, I. A. Kuling, H. Nijmeijer
{"title":"基于被动控制的平面欠驱动软机械臂全身抓取策略","authors":"H. Chu, B. Caasenbrood, Mahboubeh Keyvanara, I. A. Kuling, H. Nijmeijer","doi":"10.1109/RoboSoft55895.2023.10122015","DOIUrl":null,"url":null,"abstract":"Soft robotics is a branch of robotics that aims to emulate nature by exploring so-called soft materials. By utilizing the embedded softness, various degrees of dexterity in grasping can be achieved without the need for advanced controllers. However, when compared to nature (and modern rigid robots), comparable levels of dexterity and object manipulation are still lacking. For example, when considering the elephant's trunk, whole-body manipulation and sensory feedback are explored to achieve simultaneous, robust, and adaptive grasping. In this work, we incorporate closed-loop control into soft robotic grasping. Using passivity-based control, we achieve whole-body grasping for planar, slender, soft manipulators with torque actuation. Our approach also accounts for the underactuation present in these systems and adapts the grasping strategy accordingly. Furthermore, we explore damping injection without velocity measurements to enhance the attenuation of undesired oscillatory motion. The performance of the closed-loop system is evaluated through simulation and experiments.","PeriodicalId":250981,"journal":{"name":"2023 IEEE International Conference on Soft Robotics (RoboSoft)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Full-body Grasping Strategy for Planar Underactuated Soft Manipulators using Passivity-based Control\",\"authors\":\"H. Chu, B. Caasenbrood, Mahboubeh Keyvanara, I. A. Kuling, H. Nijmeijer\",\"doi\":\"10.1109/RoboSoft55895.2023.10122015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Soft robotics is a branch of robotics that aims to emulate nature by exploring so-called soft materials. By utilizing the embedded softness, various degrees of dexterity in grasping can be achieved without the need for advanced controllers. However, when compared to nature (and modern rigid robots), comparable levels of dexterity and object manipulation are still lacking. For example, when considering the elephant's trunk, whole-body manipulation and sensory feedback are explored to achieve simultaneous, robust, and adaptive grasping. In this work, we incorporate closed-loop control into soft robotic grasping. Using passivity-based control, we achieve whole-body grasping for planar, slender, soft manipulators with torque actuation. Our approach also accounts for the underactuation present in these systems and adapts the grasping strategy accordingly. Furthermore, we explore damping injection without velocity measurements to enhance the attenuation of undesired oscillatory motion. The performance of the closed-loop system is evaluated through simulation and experiments.\",\"PeriodicalId\":250981,\"journal\":{\"name\":\"2023 IEEE International Conference on Soft Robotics (RoboSoft)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Conference on Soft Robotics (RoboSoft)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RoboSoft55895.2023.10122015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Soft Robotics (RoboSoft)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RoboSoft55895.2023.10122015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

软机器人是机器人技术的一个分支,旨在通过探索所谓的软材料来模拟自然。通过利用嵌入的柔软度,可以在不需要高级控制器的情况下实现不同程度的灵巧抓取。然而,当与自然(和现代刚性机器人)相比时,相当水平的灵活性和物体操纵仍然缺乏。例如,在考虑大象的鼻子时,研究了全身操作和感觉反馈,以实现同时,稳健和自适应抓取。在这项工作中,我们将闭环控制引入到软机器人抓取中。采用基于被动控制的方法,实现了平面细长柔性机械臂的全身抓取。我们的方法也解释了这些系统中存在的驱动不足,并相应地调整了抓取策略。此外,我们还探索了在没有速度测量的情况下注入阻尼,以增强对不希望的振荡运动的衰减。通过仿真和实验对闭环系统的性能进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Full-body Grasping Strategy for Planar Underactuated Soft Manipulators using Passivity-based Control
Soft robotics is a branch of robotics that aims to emulate nature by exploring so-called soft materials. By utilizing the embedded softness, various degrees of dexterity in grasping can be achieved without the need for advanced controllers. However, when compared to nature (and modern rigid robots), comparable levels of dexterity and object manipulation are still lacking. For example, when considering the elephant's trunk, whole-body manipulation and sensory feedback are explored to achieve simultaneous, robust, and adaptive grasping. In this work, we incorporate closed-loop control into soft robotic grasping. Using passivity-based control, we achieve whole-body grasping for planar, slender, soft manipulators with torque actuation. Our approach also accounts for the underactuation present in these systems and adapts the grasping strategy accordingly. Furthermore, we explore damping injection without velocity measurements to enhance the attenuation of undesired oscillatory motion. The performance of the closed-loop system is evaluated through simulation and experiments.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信