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基于多传感器的机器人夹取系统研究
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Research on Robot Gripping System Based on Multi-sensor
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    摘要:

    为解决由于内置传感器较单一导致的机器人抓取动作不灵活、作业精度低等问题,提出一种基于多传感器的机器人夹取系统。首先采用扩展卡尔曼滤波算法融合机器人内置传感器所测量的位置、速度和角度等信息,实现机器人自身位姿检测。在此前提下,利用外置传感器完成对目标物的自动识别与定位。为增强信息的可靠性和系统的分辨能力,并根据输出信号对机器人夹取动作进行运动学建模,设定夹取系统的硬件、软件环境及传输电路后完成系统设计全过程。实验结果证明:所提方法设计的机器人系统能够实现对夹取目标的精确对准,运动特性明显提高,作业误差有效减小。

    Abstract:

    In order to solve the problems of inflexible robot grasping action and low operation precision caused by the single built-in sensor,a robot grasping system based on multi-sensor was proposed.The extended Kalman filter algorithm was used to fuse the position,speed and angle information measured by the robots built-in sensors to realize the robots own pose detection.Under this premise,an external sensor was used to complete the automatic identification and positioning of the target.In order to enhance the reliability of information and the distinguishing ability of the system,and perform kinematics modeling of the gripping action of the robot according to the output signal,the hardware and software environment of the gripping system and the transmission circuit were set to complete the whole system design process.The experimental results prove that the robot system designed by the proposed method can achieve precise alignment to the gripping target,the motion characteristics have been significantly improved,the operation error is effectively reduced.

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王正家,曾雨晴,徐欣犀,徐佑犀,王超.基于多传感器的机器人夹取系统研究[J].机床与液压,2023,51(11):27-33.
WANG Zhengjia, ZENG Yuqing, XU Xinxi, XU Youxi, WANG Chao. Research on Robot Gripping System Based on Multi-sensor[J]. Machine Tool & Hydraulics,2023,51(11):27-33

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  • 在线发布日期: 2023-06-25
  • 出版日期: 2023-06-15