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This study focuses on refining the real-time positional accuracy of a 6-degree-of-freedom (6-DOF) robotic arm’s end effector by comparing the actual X, Y, and Z axis positions with those calculated from joint angles using DH parameters. Through the application of linear regression analysis, variations between these datasets are identified and quantified. The derived variations are then used to adjust the DH parameter-based calculations, resulting in significantly improved accuracy for the robotic arm’s end-effector positioning. This approach offers a systematic method for enhancing the precision of calculated positional data, thereby contributing to the advancement of robotic arm operations across diverse fields.

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Accuracy Assessment and Calibration of a 6-DOF Robotic Arm Through Simulation Data Analysis

  • 会议论文

  • 发表日期：

    2025年

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  • M. Kailash,
  • Aida Jones,
  • K. Dinesh Babu,
  • S. Praveen

摘要

This study focuses on refining the real-time positional accuracy of a 6-degree-of-freedom (6-DOF) robotic arm’s end effector by comparing the actual X, Y, and Z axis positions with those calculated from joint angles using DH parameters. Through the application of linear regression analysis, variations between these datasets are identified and quantified. The derived variations are then used to adjust the DH parameter-based calculations, resulting in significantly improved accuracy for the robotic arm’s end-effector positioning. This approach offers a systematic method for enhancing the precision of calculated positional data, thereby contributing to the advancement of robotic arm operations across diverse fields.