常琛扬, 王平安, 李秉洋. 基于机器视觉的双臂协作机器人拧紧装配实验研究[J]. 制造技术与机床, 2023, (5): 94-97. DOI: 10.19287/j.mtmt.1005-2402.2023.05.012
引用本文: 常琛扬, 王平安, 李秉洋. 基于机器视觉的双臂协作机器人拧紧装配实验研究[J]. 制造技术与机床, 2023, (5): 94-97. DOI: 10.19287/j.mtmt.1005-2402.2023.05.012
CHANG Chenyang, WANG Pingan, LI Bingyang. Experimental research on tightening assembly of dual arm collaborative robot based on machine vision[J]. Manufacturing Technology & Machine Tool, 2023, (5): 94-97. DOI: 10.19287/j.mtmt.1005-2402.2023.05.012
Citation: CHANG Chenyang, WANG Pingan, LI Bingyang. Experimental research on tightening assembly of dual arm collaborative robot based on machine vision[J]. Manufacturing Technology & Machine Tool, 2023, (5): 94-97. DOI: 10.19287/j.mtmt.1005-2402.2023.05.012

基于机器视觉的双臂协作机器人拧紧装配实验研究

Experimental research on tightening assembly of dual arm collaborative robot based on machine vision

  • 摘要: 针对发动机连杆装配过程复杂繁琐且操作人员易受伤害的问题,提出一种基于机器视觉和力觉协同引导下的双臂协作机器人拧紧装配策略。在建立双臂协作机器人运动学模型的基础上,协作机器人首先通过左臂进行机器视觉识别及引导,带动右臂在PID算法下进行位姿调整及伺服机构的粗定位;在精定位阶段,运用机器人末端的力觉信息反馈,实现扭矩监控和拧紧螺栓双向协同作业,协力完成拧紧工序的力觉精确调整;通过以上装配策略,实现发动机连杆拧紧全过程管理,提升了装配工艺操作的高效性及安全性。实验结果表明:基于机器视觉和力觉协同引导下的双臂协作机器人装配安装过程全程可控,且装配结果符合生产工艺要求,可在序列化生产中推广应用。

     

    Abstract: Aiming at the complicated assembly process of engine conrod and the high frequency accidents that operators are vulnerable to injury, a tightening assembly strategy of dual arm collaborative robots based on the cooperative guidance of machine vision and force sensing is proposed. On the basis of establishing the kinematics model of the dual arm collaborative robots, the robots first carries out machine vision identification and guidance through the left arm, and drives the right arm to adjust the position and pose and coarse positioning of the servo mechanism under the PID algorithm; In the precise positioning stage, the torque and tightening can work together through the force sensing information feedback at the end of the robot to achieve the precise force sensing adjustment of the tightening process; finally execute the mechanical tightening assembly program, and achieve the completely tightening process of the engine conrod through the above assembly strategy, which would improve the efficiency and safety of assembly process. The experimental results show that the assembly and installation process of the dual arm collaborative robots under the guidance of machine vision and force sensing is controllable in the whole process, and the assembly results meet the requirements of the production process, which can be well implied in the serial production.

     

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