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Camera-Aided Robot Calibration (Paperback)
Loot Price: R1,765
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Camera-Aided Robot Calibration (Paperback)
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Robot calibration is the process of enhancing the accuracy of a
robot by modifying its control software. This book provides a
comprehensive treatment of the theory and implementation of robot
calibration using computer vision technology. It is the only book
to cover the entire process of vision-based robot calibration,
including kinematic modeling, camera calibration, pose measurement,
error parameter identification, and compensation. The book starts
with an overview of available techniques for robot calibration,
with an emphasis on vision-based techniques. It then describes
various robot-camera systems. Since cameras are used as major
measuring devices, camera calibration techniques are reviewed.
Camera-Aided Robot Calibration studies the properties of kinematic
modeling techniques that are suitable for robot calibration. It
summarizes the well-known Denavit-Hartenberg (D-H) modeling
convention and indicates the drawbacks of the D-H model for robot
calibration. The book develops the Complete and Parametrically
Continuous (CPC) model and the modified CPC model, that overcome
the D-H model singularities. The error models based on these robot
kinematic modeling conventions are presented. No other book
available addresses the important, practical issue of hand/eye
calibration. This book summarizes current research developments and
demonstrates the pros and cons of various approaches in this area.
The book discusses in detail the final stage of robot calibration -
accuracy compensation - using the identified kinematic error
parameters. It offers accuracy compensation algorithms, including
the intuitive task-point redefinition and inverse-Jacobian
algorithms and more advanced algorithms based on optimal control
theory, which are particularly attractive for highly redundant
manipulators. Camera-Aided Robot Calibration defines performance
indices that are designed for off-line, optimal selection of
measurement configurations. It then describes three approaches:
closed-form, gradient-based, and statistical optimization. The
included case study presents experimental results that were
obtained by calibrating common industrial robots. Different stages
of operation are detailed, illustrating the applicability of the
suggested techniques for robot calibration. Appendices provide
readers with preliminary materials for easier comprehension of the
subject matter. Camera-Aided Robot Calibration is a must-have
reference for researchers and practicing engineers-the only one
with all the information!
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