Autonomous Robotic Calibration Techniques for High-Precision Manufacturing

  • Authors

    • N. Seshagiri Information Technology Pioneer, National Informatics Centre, India. Author

    DOI:

    https://doi.org/10.67228/30715725/IJIARE-2021PI7H5W

    Published 01-03-2021

  • Autonomous Robotics, Robotic Calibration, High-Precision Manufacturing, Intelligent Manufacturing, Artificial Intelligence, Machine Vision, Sensor Fusion, Industrial Internet of Things, Smart Manufacturing, Predictive Maintenance

    Issue

    Vol. 4 No. 1 (2021)

    Section

    Articles

    How to Cite

    [1]
    S. N, “Autonomous Robotic Calibration Techniques for High-Precision Manufacturing”, IJIARE, vol. 4, no. 1, pp. 01–16, Jan. 2021, doi: 10.67228/30715725/IJIARE-2021PI7H5W.

  • Abstract

    Industry 4.0 technologies, including AI, IIoT, robotics, and cyber-physical systems, require industrial robots to maintain high positioning accuracy despite thermal, mechanical, and operational changes. Conventional offline calibration is time-consuming, costly, and unsuitable for dynamic manufacturing environments. The proposed autonomous calibration framework integrates multi-sensor fusion, machine vision, laser measurement, inertial sensing, machine learning, and adaptive optimization to continuously estimate and compensate for calibration errors in real time. By updating robot kinematic models during operation, the system improves positioning accuracy, repeatability, manufacturing quality, equipment utilization, and predictive maintenance while minimizing downtime and human intervention. Overall, the framework enables self-learning, real-time robotic calibration that supports intelligent, efficient, and sustainable smart manufacturing.

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