Design and Implementation of Fuzzy Control for Industrial Robot

Hitam, Muhammad Suzuri

doi:10.5772/5022

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Quaternion was first time discovered in 1843 by the Irish mathematician William Rowan Hamilton by expanding complex numbers (Hamilton, 1969). Quaternion, on the other hand, was found by expanding complex numbers and can be described with a four-dimensional space (Cubero, 2006). A quaternion allows the rotation in three-dimensional space to be defined as a four elements vector (Hartenberg and Denavit, 1964).…”

Section: Quaternion Algebramentioning

confidence: 99%

A robust and simple collision avoidance approach for pick and place robot applications

Deniz

2023

View full text Add to dashboard Cite

Purpose The aim of this study is to create a robust and simple collision avoidance approach based on quaternion algebra for vision-based pick and place applications in manufacturing industries, specifically for use with industrial robots and collaborative robots (cobots). Design/methodology/approach In this study, an approach based on quaternion algebra is developed to prevent any collision or breakdown during the movements of industrial robots or cobots in vision system included pick and place applications. The algorithm, integrated into the control system, checks for collisions before the robot moves its end effector to the target position during the process flow. In addition, a hand–eye calibration method is presented to easily calibrate the camera and define the geometric relationships between the camera and the robot coordinate systems. Findings This approach, specifically designed for vision-based robot/cobot applications, can be used by developers and robot integrator companies to significantly reduce application costs and the project timeline of the pick and place robotics system installation. Furthermore, the approach ensures a safe, robust and highly efficient application for robotics vision applications across all industries, making it an ideal solution for various industries. Originality/value The algorithm for this approach, which can be operated in a robot controller or a programmable logic controller, has been tested as real-time in vision-based robotics applications. It can be applied to both existing and new vision-based pick and place projects with industrial robots or collaborative robots with minimal effort, making it a cost-effective and efficient solution for various industries.

show abstract

Section: Quaternion Algebramentioning

confidence: 99%

A robust and simple collision avoidance approach for pick and place robot applications

Deniz

2023

View full text Add to dashboard Cite

show abstract

Design and Implementation of Fuzzy Control for Industrial Robot

Cited by 1 publication

References 7 publications

A robust and simple collision avoidance approach for pick and place robot applications

A robust and simple collision avoidance approach for pick and place robot applications

Contact Info

Product

Resources

About