{"title":"双臂机器人对称手工任务的自适应协调阻抗控制","authors":"Yang Zhang","doi":"10.1016/j.robot.2025.105110","DOIUrl":null,"url":null,"abstract":"<div><div>This paper proposes an adaptive coordinated impedance control scheme to address the challenges of internal force regulation and external force tracking in symmetric bimanual tasks performed by dual-arm robots. The scheme is developed within the hybrid impedance control framework, a specialized variant of the general impedance control approach. First, the contact force is decomposed using the dynamic model of dual-arm manipulation and integrated into the corresponding control loop for real-time impedance parameter adjustment. Then, based on the dynamic model of the closed-chain system, distinct impedance parameter adaptation strategies are designed for internal and external forces to meet their respective force control requirements during manipulation. By enabling real-time impedance parameter adjustments in response to contact force errors, the scheme effectively mitigates trajectory deviations caused by unknown paths and environmental factors, thereby improving dual-arm manipulation performance. Finally, the effectiveness of the adaptive coordinated control scheme is validated through a Matlab-Adams co-simulation on a dual-arm robot, demonstrating its capability in internal force limitation and external force tracking.</div></div>","PeriodicalId":49592,"journal":{"name":"Robotics and Autonomous Systems","volume":"193 ","pages":"Article 105110"},"PeriodicalIF":5.2000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive coordinated impedance control for dual-arm robot symmetric bimanual tasks\",\"authors\":\"Yang Zhang\",\"doi\":\"10.1016/j.robot.2025.105110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper proposes an adaptive coordinated impedance control scheme to address the challenges of internal force regulation and external force tracking in symmetric bimanual tasks performed by dual-arm robots. The scheme is developed within the hybrid impedance control framework, a specialized variant of the general impedance control approach. First, the contact force is decomposed using the dynamic model of dual-arm manipulation and integrated into the corresponding control loop for real-time impedance parameter adjustment. Then, based on the dynamic model of the closed-chain system, distinct impedance parameter adaptation strategies are designed for internal and external forces to meet their respective force control requirements during manipulation. By enabling real-time impedance parameter adjustments in response to contact force errors, the scheme effectively mitigates trajectory deviations caused by unknown paths and environmental factors, thereby improving dual-arm manipulation performance. Finally, the effectiveness of the adaptive coordinated control scheme is validated through a Matlab-Adams co-simulation on a dual-arm robot, demonstrating its capability in internal force limitation and external force tracking.</div></div>\",\"PeriodicalId\":49592,\"journal\":{\"name\":\"Robotics and Autonomous Systems\",\"volume\":\"193 \",\"pages\":\"Article 105110\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Robotics and Autonomous Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0921889025002076\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotics and Autonomous Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0921889025002076","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Adaptive coordinated impedance control for dual-arm robot symmetric bimanual tasks
This paper proposes an adaptive coordinated impedance control scheme to address the challenges of internal force regulation and external force tracking in symmetric bimanual tasks performed by dual-arm robots. The scheme is developed within the hybrid impedance control framework, a specialized variant of the general impedance control approach. First, the contact force is decomposed using the dynamic model of dual-arm manipulation and integrated into the corresponding control loop for real-time impedance parameter adjustment. Then, based on the dynamic model of the closed-chain system, distinct impedance parameter adaptation strategies are designed for internal and external forces to meet their respective force control requirements during manipulation. By enabling real-time impedance parameter adjustments in response to contact force errors, the scheme effectively mitigates trajectory deviations caused by unknown paths and environmental factors, thereby improving dual-arm manipulation performance. Finally, the effectiveness of the adaptive coordinated control scheme is validated through a Matlab-Adams co-simulation on a dual-arm robot, demonstrating its capability in internal force limitation and external force tracking.
期刊介绍:
Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems.
Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.