<p>This study aims to develop a measurement system for the angular positioning error of the moving path points of a six-axis industrial robot. The proposed measurement system employs a FANUC Robot M-710iC industrial robot as the experimental platform and utilizes a Laser Tracker for measurement. Building upon the Modified Denavit-Hartenberg (MDH) method, a kinematic calibration model is established to compensate for the parameter errors of the industrial robot. The forward kinematics of the robot calculates the end position of the robot's pose in space, while inverse kinematics compute the joint angles required for each point. The errors between the ideal and real joint angles are then compensated in the industrial robot's controller. Finally, the compensated values are validated by clamping an aluminum block in the workspace, and simulations are conducted to mimic real-world applications on automated production lines. The anticipated outcome is improved accuracy during the loading and unloading processes of future automated production lines.</p>

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Trajectory positioning error compensation and verification for six-axis industrial robot

  • Yu-Ta Chen,
  • Chien-Sheng Liu,
  • Bo-Kuan Lee

摘要

This study aims to develop a measurement system for the angular positioning error of the moving path points of a six-axis industrial robot. The proposed measurement system employs a FANUC Robot M-710iC industrial robot as the experimental platform and utilizes a Laser Tracker for measurement. Building upon the Modified Denavit-Hartenberg (MDH) method, a kinematic calibration model is established to compensate for the parameter errors of the industrial robot. The forward kinematics of the robot calculates the end position of the robot's pose in space, while inverse kinematics compute the joint angles required for each point. The errors between the ideal and real joint angles are then compensated in the industrial robot's controller. Finally, the compensated values are validated by clamping an aluminum block in the workspace, and simulations are conducted to mimic real-world applications on automated production lines. The anticipated outcome is improved accuracy during the loading and unloading processes of future automated production lines.