基于三维连杆机构的蠕动爬行机器人设计

N. Saga, S. Tesen, Hiroki Dobashi, J. Nagase
{"title":"基于三维连杆机构的蠕动爬行机器人设计","authors":"N. Saga, S. Tesen, Hiroki Dobashi, J. Nagase","doi":"10.1504/IJBBR.2013.058739","DOIUrl":null,"url":null,"abstract":"In disaster areas, rescue work conducted by humans is extremely difficult. Therefore, rescue work using rescue robots in place of humans is attracting attention. This study specifically examines peristaltic crawling, the movement mechanism of an earthworm, because it can enable movement through narrow spaces and because it can provide stable movement according to various difficult environments. We developed a robot using peristalsis characteristics and derived a robot motion pattern using Q-learning, a mode of reinforcement learning. Moreover, we designed each part of the robot based on required specifications and thereby developed a real robot. We present results of motion experiments assessing the robot’s level ground movement.","PeriodicalId":375470,"journal":{"name":"International Journal of Biomechatronics and Biomedical Robotics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Design of a peristaltic crawling robot using 3-D link mechanisms\",\"authors\":\"N. Saga, S. Tesen, Hiroki Dobashi, J. Nagase\",\"doi\":\"10.1504/IJBBR.2013.058739\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In disaster areas, rescue work conducted by humans is extremely difficult. Therefore, rescue work using rescue robots in place of humans is attracting attention. This study specifically examines peristaltic crawling, the movement mechanism of an earthworm, because it can enable movement through narrow spaces and because it can provide stable movement according to various difficult environments. We developed a robot using peristalsis characteristics and derived a robot motion pattern using Q-learning, a mode of reinforcement learning. Moreover, we designed each part of the robot based on required specifications and thereby developed a real robot. We present results of motion experiments assessing the robot’s level ground movement.\",\"PeriodicalId\":375470,\"journal\":{\"name\":\"International Journal of Biomechatronics and Biomedical Robotics\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Biomechatronics and Biomedical Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJBBR.2013.058739\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Biomechatronics and Biomedical Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJBBR.2013.058739","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

在灾区,人类的救援工作极其困难。因此,用救援机器人代替人类的救援工作备受关注。本研究专门研究蠕动爬行,蚯蚓的运动机制,因为它可以通过狭窄的空间运动,因为它可以根据各种困难的环境提供稳定的运动。我们开发了一个使用蠕动特性的机器人,并使用Q-learning(一种强化学习模式)导出了机器人的运动模式。此外,我们还根据需要的规格对机器人的各个部分进行了设计,从而开发出一个真正的机器人。我们给出了评估机器人水平地面运动的运动实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a peristaltic crawling robot using 3-D link mechanisms
In disaster areas, rescue work conducted by humans is extremely difficult. Therefore, rescue work using rescue robots in place of humans is attracting attention. This study specifically examines peristaltic crawling, the movement mechanism of an earthworm, because it can enable movement through narrow spaces and because it can provide stable movement according to various difficult environments. We developed a robot using peristalsis characteristics and derived a robot motion pattern using Q-learning, a mode of reinforcement learning. Moreover, we designed each part of the robot based on required specifications and thereby developed a real robot. We present results of motion experiments assessing the robot’s level ground movement.
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