基于神经-肌肉-骨骼模型和模拟退火的两足机器人运动生成

K. Taki, Y. Itoh, Shohei Kato, H. Itoh
{"title":"基于神经-肌肉-骨骼模型和模拟退火的两足机器人运动生成","authors":"K. Taki, Y. Itoh, Shohei Kato, H. Itoh","doi":"10.1109/RAMECH.2004.1438003","DOIUrl":null,"url":null,"abstract":"We propose a stochastic approach to CPG-based motion generation of a bipedal robot. We make an extension to a motion control system based on a neuro-musculoskeletal model into three dimensions, and give an optimization of control parameters by simulated annealing. Not only do we obtain walking motion by our approach but provide some empirical verification of various walking patterns adaptive to different link structures. In addition to straight walking, this paper gives the performance results of turning walk to right and left.","PeriodicalId":252964,"journal":{"name":"IEEE Conference on Robotics, Automation and Mechatronics, 2004.","volume":"6402 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Motion generation for bipedal robot using neuro-musculo-skeletal model and Simulated Annealing\",\"authors\":\"K. Taki, Y. Itoh, Shohei Kato, H. Itoh\",\"doi\":\"10.1109/RAMECH.2004.1438003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a stochastic approach to CPG-based motion generation of a bipedal robot. We make an extension to a motion control system based on a neuro-musculoskeletal model into three dimensions, and give an optimization of control parameters by simulated annealing. Not only do we obtain walking motion by our approach but provide some empirical verification of various walking patterns adaptive to different link structures. In addition to straight walking, this paper gives the performance results of turning walk to right and left.\",\"PeriodicalId\":252964,\"journal\":{\"name\":\"IEEE Conference on Robotics, Automation and Mechatronics, 2004.\",\"volume\":\"6402 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Conference on Robotics, Automation and Mechatronics, 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMECH.2004.1438003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Conference on Robotics, Automation and Mechatronics, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMECH.2004.1438003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

我们提出了一种基于cpg的双足机器人运动生成的随机方法。将基于神经-肌肉-骨骼模型的运动控制系统扩展到三维空间,并通过模拟退火方法对控制参数进行优化。我们的方法不仅得到了步行运动,而且对不同连杆结构下的不同步行模式提供了一些经验验证。除了直线行走外,本文还给出了左右转弯行走的性能结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Motion generation for bipedal robot using neuro-musculo-skeletal model and Simulated Annealing
We propose a stochastic approach to CPG-based motion generation of a bipedal robot. We make an extension to a motion control system based on a neuro-musculoskeletal model into three dimensions, and give an optimization of control parameters by simulated annealing. Not only do we obtain walking motion by our approach but provide some empirical verification of various walking patterns adaptive to different link structures. In addition to straight walking, this paper gives the performance results of turning walk to right and left.
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:604180095
Book学术官方微信