Kun Xu, Qikai Li, Yuhang Zhao, Jiawei Chen, Xilun Ding
{"title":"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","authors":"Kun Xu, Qikai Li, Yuhang Zhao, Jiawei Chen, 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":"{\"title\":\"Accurate and Efficient End-Effector Tracking for Quadrupedal Mobile Manipulators through Coordinated Motion and Decoupled Control\",\"authors\":\"Kun Xu, Qikai Li, Yuhang Zhao, Jiawei Chen, 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}","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}
Accurate and Efficient End-Effector Tracking for Quadrupedal Mobile Manipulators through Coordinated Motion and Decoupled Control
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.