Research on Motion Trajectory Planning and Impedance Control for Dual-Arm Collaborative Robot Grinding Tasks

In robot grinding tasks, dual manipulators possess improved flexibility, which can cooperate to complete different tasks with higher efficiency and satisfactory effect. In collaborative robot grinding tasks, the critical issues lie in the motion trajectory planning of the two manipulators and trajec...

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Main Authors: Lu Qian, Lei Hao, Shuhao Cui, Xianglin Gao, Xingwei Zhao, Yifan Li
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/2/819
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author Lu Qian
Lei Hao
Shuhao Cui
Xianglin Gao
Xingwei Zhao
Yifan Li
author_facet Lu Qian
Lei Hao
Shuhao Cui
Xianglin Gao
Xingwei Zhao
Yifan Li
author_sort Lu Qian
collection DOAJ
description In robot grinding tasks, dual manipulators possess improved flexibility, which can cooperate to complete different tasks with higher efficiency and satisfactory effect. In collaborative robot grinding tasks, the critical issues lie in the motion trajectory planning of the two manipulators and trajectory tracking with satisfactory accuracy under the condition that the two manipulator ends apply force on each other. In order to accomplish the goals in a more concise and feasible way, a complete scheme for dual-arm robot grinding tasks is essential. To address this issue, taking the motion trajectory planning and impedance control into consideration, a novel scheme for dual manipulators to complete collaborative grinding tasks is presented in this paper. To this end, a dual-arm grinding system is first constructed, and the kinematic constraints in the cooperative motion are analyzed, based on which the motion trajectories of the dual manipulators are planned according to the grinding task objectives. Then, an impedance controller is designed to achieve accurate tracking of the motion trajectory in the grinding process. Finally, dual-arm collaborative simulations and grinding experiments are carried out, and the results show that the proposed method can achieve good motion results and better flexibility compared to the single-arm motion, which demonstrates the effectiveness of the proposed method.
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institution Kabale University
issn 2076-3417
language English
publishDate 2025-01-01
publisher MDPI AG
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series Applied Sciences
spelling doaj-art-920c3d7fd05d440ea97d3d35eb8d97fd2025-01-24T13:20:57ZengMDPI AGApplied Sciences2076-34172025-01-0115281910.3390/app15020819Research on Motion Trajectory Planning and Impedance Control for Dual-Arm Collaborative Robot Grinding TasksLu Qian0Lei Hao1Shuhao Cui2Xianglin Gao3Xingwei Zhao4Yifan Li5School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, ChinaAVIC Research Institute for Special Structures of Aeronautical Composites, Jinan 250023, ChinaState Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, ChinaAVIC Research Institute for Special Structures of Aeronautical Composites, Jinan 250023, ChinaState Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, ChinaIn robot grinding tasks, dual manipulators possess improved flexibility, which can cooperate to complete different tasks with higher efficiency and satisfactory effect. In collaborative robot grinding tasks, the critical issues lie in the motion trajectory planning of the two manipulators and trajectory tracking with satisfactory accuracy under the condition that the two manipulator ends apply force on each other. In order to accomplish the goals in a more concise and feasible way, a complete scheme for dual-arm robot grinding tasks is essential. To address this issue, taking the motion trajectory planning and impedance control into consideration, a novel scheme for dual manipulators to complete collaborative grinding tasks is presented in this paper. To this end, a dual-arm grinding system is first constructed, and the kinematic constraints in the cooperative motion are analyzed, based on which the motion trajectories of the dual manipulators are planned according to the grinding task objectives. Then, an impedance controller is designed to achieve accurate tracking of the motion trajectory in the grinding process. Finally, dual-arm collaborative simulations and grinding experiments are carried out, and the results show that the proposed method can achieve good motion results and better flexibility compared to the single-arm motion, which demonstrates the effectiveness of the proposed method.https://www.mdpi.com/2076-3417/15/2/819robot grindingtrajectory planningdual-arm coordinationimpedance control
spellingShingle Lu Qian
Lei Hao
Shuhao Cui
Xianglin Gao
Xingwei Zhao
Yifan Li
Research on Motion Trajectory Planning and Impedance Control for Dual-Arm Collaborative Robot Grinding Tasks
Applied Sciences
robot grinding
trajectory planning
dual-arm coordination
impedance control
title Research on Motion Trajectory Planning and Impedance Control for Dual-Arm Collaborative Robot Grinding Tasks
title_full Research on Motion Trajectory Planning and Impedance Control for Dual-Arm Collaborative Robot Grinding Tasks
title_fullStr Research on Motion Trajectory Planning and Impedance Control for Dual-Arm Collaborative Robot Grinding Tasks
title_full_unstemmed Research on Motion Trajectory Planning and Impedance Control for Dual-Arm Collaborative Robot Grinding Tasks
title_short Research on Motion Trajectory Planning and Impedance Control for Dual-Arm Collaborative Robot Grinding Tasks
title_sort research on motion trajectory planning and impedance control for dual arm collaborative robot grinding tasks
topic robot grinding
trajectory planning
dual-arm coordination
impedance control
url https://www.mdpi.com/2076-3417/15/2/819
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AT xianglingao researchonmotiontrajectoryplanningandimpedancecontrolfordualarmcollaborativerobotgrindingtasks
AT xingweizhao researchonmotiontrajectoryplanningandimpedancecontrolfordualarmcollaborativerobotgrindingtasks
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