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Robot Calibration Using Active Vision-based Measurement

Robot Calibration Using Active Vision-based Measurement
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摘要 This paper presents an efficient robot calibration method with non-contact vision metrology. Using the coplanar pattern to calibrate camera made the active-vision-based end-effector pose measurement be a feasible and costeffective way. Kinematic parameter errors were linearized and identified through two-step procedure, thus the singular and non-linear condition was overcome. These errors were then compensated using inverse model method. The whole calibration process is flexible, easy to implement and prevents the error propagation from the earlier stages to the later ones. Calibration was performed on MOTOMAN SV3industrial robot. Experiment results show that the proposed method is easy to setup and with satisfactory accuracy. This paper presents an efficient robot calibration method with non-contact vision metrology. Using the coplanar pattern to calibrate camera made the active-vision-based end-effector pose measurement be a feasible and costeffective way. Kinematic parameter errors were linearized and identified through two-step procedure, thus the singular and non-linear condition was overcome. These errors were then compensated using inverse model method. The whole calibration process is flexible, easy to implement and prevents the error propagation from the earlier stages to the later ones. Calibration was performed on MOTOMAN SV3 industrial robot. Experiment results show that the proposed method is easy to setup and with satisfactory accuracy.
出处 《Journal of Donghua University(English Edition)》 EI CAS 2004年第1期7-12,共6页 东华大学学报(英文版)
关键词 robot calibration pose measurement error identification kinematic error compensation 机器人校准 姿态测量 误差识别 误差补偿 运动学 无触点视觉测量
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参考文献11

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