Accurate and Efficient End-Effector Tracking for Quadrupedal Mobile Manipulators through Coordinated Motion and Decoupled Control

IF 6.1 Q1 AUTOMATION & CONTROL SYSTEMS
Kun Xu, Qikai Li, Yuhang Zhao, Jiawei Chen, Xilun Ding
{"title":"Accurate and Efficient End-Effector Tracking for Quadrupedal Mobile Manipulators through Coordinated Motion and Decoupled Control","authors":"Kun Xu,&nbsp;Qikai Li,&nbsp;Yuhang Zhao,&nbsp;Jiawei Chen,&nbsp;Xilun Ding","doi":"10.1002/aisy.202500242","DOIUrl":null,"url":null,"abstract":"<p>Quadrupedal mobile manipulators are receiving increasing attention due to their excellent terrain adaptability and nearly unlimited workspace. Recent achievements have integrated legged mobility with manipulation capabilities, yet the accuracy of end-effector trajectory tracking remains a challenge, which is crucial for practical applications. This study proposes an innovative approach that integrates coordinated trajectory generation with decoupled tracking control to enhance the accuracy of end-effector trajectory tracking. This approach also expands the end-effector's workspace and improves the smoothness of the robot's movements. The trajectory optimization-based coordinated trajectory generator leverages the active motion of the quadruped's body to produce smooth movements. Meanwhile, the decoupled tracking control models the robotic arm and quadrupedal robot as independent floating-base systems, incorporating interaction forces to enhance the overall system's tracking accuracy. Finally, a series of experiments demonstrate that the proposed method can successfully perform a variety of trajectory-tracking tasks, reducing the root mean squared error by 82.7% compared to independent control in the stance mode, and cutting additional computational overhead by 53.4% compared to the unified control.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 8","pages":""},"PeriodicalIF":6.1000,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202500242","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://advanced.onlinelibrary.wiley.com/doi/10.1002/aisy.202500242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Quadrupedal mobile manipulators are receiving increasing attention due to their excellent terrain adaptability and nearly unlimited workspace. Recent achievements have integrated legged mobility with manipulation capabilities, yet the accuracy of end-effector trajectory tracking remains a challenge, which is crucial for practical applications. This study proposes an innovative approach that integrates coordinated trajectory generation with decoupled tracking control to enhance the accuracy of end-effector trajectory tracking. This approach also expands the end-effector's workspace and improves the smoothness of the robot's movements. The trajectory optimization-based coordinated trajectory generator leverages the active motion of the quadruped's body to produce smooth movements. Meanwhile, the decoupled tracking control models the robotic arm and quadrupedal robot as independent floating-base systems, incorporating interaction forces to enhance the overall system's tracking accuracy. Finally, a series of experiments demonstrate that the proposed method can successfully perform a variety of trajectory-tracking tasks, reducing the root mean squared error by 82.7% compared to independent control in the stance mode, and cutting additional computational overhead by 53.4% compared to the unified control.

Abstract Image

Abstract Image

Abstract Image

Abstract Image

基于协调运动和解耦控制的四足移动机械臂末端执行器精确高效跟踪
四足移动机械手由于其优异的地形适应性和几乎无限的工作空间而受到越来越多的关注。最近的研究成果已经将腿的移动性与操纵能力相结合,但末端执行器轨迹跟踪的准确性仍然是一个挑战,这对实际应用至关重要。本文提出了一种将协调轨迹生成与解耦跟踪控制相结合的创新方法,以提高末端执行器轨迹跟踪的精度。这种方法还扩大了末端执行器的工作空间,提高了机器人运动的平稳性。基于轨迹优化的协调轨迹生成器利用四足动物身体的主动运动产生平滑运动。同时,将机械臂和四足机器人作为独立的浮基系统进行解耦跟踪控制,加入相互作用力,提高了整个系统的跟踪精度。最后,一系列实验表明,该方法可以成功地完成多种轨迹跟踪任务,与独立控制相比,姿态模式下的均方根误差降低了82.7%,与统一控制相比,额外的计算开销减少了53.4%。
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 求助全文
来源期刊
CiteScore
1.30
自引率
0.00%
发文量
0
审稿时长
4 weeks
×
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