机器人抓取与触觉渲染传感与驱动技术研究进展综述

Syed Kumayl Raza Moosavi, M. Zafar, Filippo Sanfilippo
{"title":"机器人抓取与触觉渲染传感与驱动技术研究进展综述","authors":"Syed Kumayl Raza Moosavi, M. Zafar, Filippo Sanfilippo","doi":"10.1109/ICICT55905.2022.00039","DOIUrl":null,"url":null,"abstract":"In this paper, a survey of the state of the art, chal-lenges, and possibilities with sensing and actuation technology for robotic grasping and haptic rendering is presented. To this end, a survey and classification of robotic grippers and grasping methods is first outlined. Then, haptic rendering is surveyed by focusing on different challenges and approaches, such as rigid body haptic interaction, deformable/rigid haptic interaction, fluid haptic interaction, image/video based haptic interaction, and virtual reality (VR) based haptic interaction. Successively, the current sensing technology is reviewed by considering sensor development for robotic hands/grippers, such as tactile sensors, and visual sensors. Finally, the current actuation technology is addressed by considering soft robotic grippers, micro and nano grippers, multi-fingered grippers, and under actuated grippers. The main objective of this study is to boost worldwide efforts toward achieving the vast variety of applications that robotic grasping and haptics may give, as well as to provide an up-to-date reference as a baseline for future research and development in this sector.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"481 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Review of the State-of-the-Art of Sensing and Actuation Technology for Robotic Grasping and Haptic Rendering\",\"authors\":\"Syed Kumayl Raza Moosavi, M. Zafar, Filippo Sanfilippo\",\"doi\":\"10.1109/ICICT55905.2022.00039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a survey of the state of the art, chal-lenges, and possibilities with sensing and actuation technology for robotic grasping and haptic rendering is presented. To this end, a survey and classification of robotic grippers and grasping methods is first outlined. Then, haptic rendering is surveyed by focusing on different challenges and approaches, such as rigid body haptic interaction, deformable/rigid haptic interaction, fluid haptic interaction, image/video based haptic interaction, and virtual reality (VR) based haptic interaction. Successively, the current sensing technology is reviewed by considering sensor development for robotic hands/grippers, such as tactile sensors, and visual sensors. Finally, the current actuation technology is addressed by considering soft robotic grippers, micro and nano grippers, multi-fingered grippers, and under actuated grippers. The main objective of this study is to boost worldwide efforts toward achieving the vast variety of applications that robotic grasping and haptics may give, as well as to provide an up-to-date reference as a baseline for future research and development in this sector.\",\"PeriodicalId\":273927,\"journal\":{\"name\":\"2022 5th International Conference on Information and Computer Technologies (ICICT)\",\"volume\":\"481 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th International Conference on Information and Computer Technologies (ICICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICT55905.2022.00039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Information and Computer Technologies (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICT55905.2022.00039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文对机器人抓取和触觉渲染的传感和驱动技术的现状、挑战和可能性进行了综述。为此,首先概述了机器人抓取器和抓取方法的概况和分类。然后,重点介绍了不同的挑战和方法,如刚体触觉交互、可变形/刚性触觉交互、流体触觉交互、基于图像/视频的触觉交互和基于虚拟现实(VR)的触觉交互。随后,通过考虑机器人手/抓取器传感器的发展,综述了当前的传感技术,如触觉传感器和视觉传感器。最后,从软机器人夹持器、微纳米夹持器、多指夹持器和欠驱动夹持器四个方面对当前的驱动技术进行了分析。本研究的主要目的是促进全球范围内的努力,以实现机器人抓取和触觉的广泛应用,并为该领域的未来研究和发展提供最新的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Review of the State-of-the-Art of Sensing and Actuation Technology for Robotic Grasping and Haptic Rendering
In this paper, a survey of the state of the art, chal-lenges, and possibilities with sensing and actuation technology for robotic grasping and haptic rendering is presented. To this end, a survey and classification of robotic grippers and grasping methods is first outlined. Then, haptic rendering is surveyed by focusing on different challenges and approaches, such as rigid body haptic interaction, deformable/rigid haptic interaction, fluid haptic interaction, image/video based haptic interaction, and virtual reality (VR) based haptic interaction. Successively, the current sensing technology is reviewed by considering sensor development for robotic hands/grippers, such as tactile sensors, and visual sensors. Finally, the current actuation technology is addressed by considering soft robotic grippers, micro and nano grippers, multi-fingered grippers, and under actuated grippers. The main objective of this study is to boost worldwide efforts toward achieving the vast variety of applications that robotic grasping and haptics may give, as well as to provide an up-to-date reference as a baseline for future research and development in this sector.
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
期刊最新文献
A Review of the State-of-the-Art of Sensing and Actuation Technology for Robotic Grasping and Haptic Rendering ICU Patient Status Prediction Using Markov Chain Model Knowledge-based Interactive Configuration Tool for Industrial Augmented Reality Systems EnsembleNet: An improved COVID19 Prediction Model using Chest X-Ray Images Social Engineering Detection Using Natural Language Processing and Machine Learning
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1