A Spiny Claws Climbing Robot Based on Self-Sensing Soles

IF 4.6 2区 计算机科学 Q2 ROBOTICS IEEE Robotics and Automation Letters Pub Date : 2024-10-21 DOI:10.1109/LRA.2024.3484179
Rui Li;Changze Wu;Shuang Yan;Chuan Li;Xinglong Gong;Chul-Hee Lee;Mengjie Shou
{"title":"A Spiny Claws Climbing Robot Based on Self-Sensing Soles","authors":"Rui Li;Changze Wu;Shuang Yan;Chuan Li;Xinglong Gong;Chul-Hee Lee;Mengjie Shou","doi":"10.1109/LRA.2024.3484179","DOIUrl":null,"url":null,"abstract":"Adaptive climbing on different surfaces is a great challenge for conventional robots due to a lack of self-sensing capabilities. Inspired by the exceptional sensing ability of feline soles, this study proposes a quadrupedal climbing robot based on self-sensing spiny-claw soles. First, a spiny-claw sole was designed by embedding stainless steel spines into a soft substrate. Next, a tensile strain sensor was designed based on carbon nanotubes and carbonyl iron powder through the squash method and then was integrated into the spiny-claw sole to fabricate the self-sensing sole. Then, a quadrupedal climbing robot was designed using four self-sensing spiny-claw soles. Subsequently, the control strategy of the self-sensing climbing robot was designed. Finally, the climbing performance of the self-sensing robot was experimentally tested. It is demonstrated that the robot can climb on different inclined surfaces with an angle of 0\n<inline-formula><tex-math>$^\\circ$</tex-math></inline-formula>\n to 75\n<inline-formula><tex-math>$^\\circ$</tex-math></inline-formula>\n and on three different rough surfaces. In addition, the maximum load of the robot is 175 g when climbing on a 45\n<inline-formula><tex-math>$^\\circ$</tex-math></inline-formula>\n inclined surface. More importantly, the robot can detect whether there is an obstacle in the climbing path through the self-sensing soles and perform appropriate obstacle avoidance operations accordingly.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"9 12","pages":"10906-10913"},"PeriodicalIF":4.6000,"publicationDate":"2024-10-21","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/10723777/","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}
引用次数: 0

Abstract

Adaptive climbing on different surfaces is a great challenge for conventional robots due to a lack of self-sensing capabilities. Inspired by the exceptional sensing ability of feline soles, this study proposes a quadrupedal climbing robot based on self-sensing spiny-claw soles. First, a spiny-claw sole was designed by embedding stainless steel spines into a soft substrate. Next, a tensile strain sensor was designed based on carbon nanotubes and carbonyl iron powder through the squash method and then was integrated into the spiny-claw sole to fabricate the self-sensing sole. Then, a quadrupedal climbing robot was designed using four self-sensing spiny-claw soles. Subsequently, the control strategy of the self-sensing climbing robot was designed. Finally, the climbing performance of the self-sensing robot was experimentally tested. It is demonstrated that the robot can climb on different inclined surfaces with an angle of 0 $^\circ$ to 75 $^\circ$ and on three different rough surfaces. In addition, the maximum load of the robot is 175 g when climbing on a 45 $^\circ$ inclined surface. More importantly, the robot can detect whether there is an obstacle in the climbing path through the self-sensing soles and perform appropriate obstacle avoidance operations accordingly.
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
基于自感应鞋底的棘爪攀爬机器人
由于缺乏自感应能力,在不同表面上的自适应攀爬对于传统机器人来说是一个巨大的挑战。受猫科动物鞋底超强感应能力的启发,本研究提出了一种基于自感应棘爪鞋底的四足攀爬机器人。首先,通过将不锈钢刺嵌入软基底,设计出刺爪鞋底。接着,通过压扁法设计出基于碳纳米管和羰基铁粉的拉伸应变传感器,并将其集成到棘爪鞋底中,从而制作出自感应鞋底。然后,利用四个自感应棘爪鞋底设计了一个四足攀爬机器人。随后,设计了自感应攀爬机器人的控制策略。最后,对自感应机器人的攀爬性能进行了实验测试。实验证明,机器人可以在角度为 0$^\circ$ 至 75$^\circ$ 的不同倾斜表面和三种不同的粗糙表面上攀爬。此外,当机器人在 45$^\circ$ 的倾斜表面上攀爬时,其最大负载为 175 g。更重要的是,机器人可以通过自感应鞋底检测攀爬路径上是否有障碍物,并相应地执行适当的避障操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
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.
期刊最新文献
Correction To: “Design Models and Performance Analysis for a Novel Shape Memory Alloy-Actuated Wearable Hand Exoskeleton for Rehabilitation” NavTr: Object-Goal Navigation With Learnable Transformer Queries A Diffusion-Based Data Generator for Training Object Recognition Models in Ultra-Range Distance Position Prediction for Space Teleoperation With SAO-CNN-BiGRU-Attention Algorithm MR-ULINS: A Tightly-Coupled UWB-LiDAR-Inertial Estimator With Multi-Epoch Outlier Rejection
×
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