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Method for estimating the pose of a robotic arm using a camera and calibration pattern

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68145535%3A_____%2F25%3A00638562" target="_blank" >RIV/68145535:_____/25:00638562 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27240/25:10258036

  • Result on the web

    <a href="https://doi.org/10.1016/j.asej.2025.103525" target="_blank" >https://doi.org/10.1016/j.asej.2025.103525</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.asej.2025.103525" target="_blank" >10.1016/j.asej.2025.103525</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Method for estimating the pose of a robotic arm using a camera and calibration pattern

  • Original language description

    Industrial robots are a key component of Industry 4.0, yet accurately estimating their pose remains challenging- especially when determining the spatial relationship between the tool center point (TCP) and the working space. This study presents a hybrid pose estimation method that leverages an industrial camera mounted on a robotic arm's effector and a calibration pattern positioned within the working frame. To solve the resulting optimization problem, the method integrates Newton's method with a neural network (NN) pre-trained on a full camera model. Comparative experiments with state-of-the-art optimization techniques show that the proposed approach achieves superior performance in terms of both accuracy and speed. Specifically, it yields a mean position error of 0.5 mm and a mean angle error of 0.31 degrees, with a computation time of 0.14 ms. These results suggest that the method offers an efficient and accurate alternative for camera-based pose estimation in industrial settings.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Ain Shams Engineering Journal

  • ISSN

    2090-4479

  • e-ISSN

    2090-4495

  • Volume of the periodical

    16

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    13

  • Pages from-to

    103525

  • UT code for WoS article

    001513404000002

  • EID of the result in the Scopus database

    2-s2.0-105007532866