Software-Driven Calibration Method for a Pick-and-Place Process
(2024) In CODEN:LUTEDX/TEIE EIEM01 20241Industrial Electrical Engineering and Automation
- Abstract
- Machine calibration is important for optimal performance throughout the lifespan of industrial processes. A prime example is the pick-and-place process, where robots must manipulate objects accurately. Currently, this process is manually calibrated, which can be a complex practice. This thesis studies a software-based approach to error detection within the process, aiming to reduce the need for manual calibration.
By utilizing existing sensors within the process, the method identifies translation and rotational errors within the system. The proposed approach involves measuring and comparing the perspective of mechatronic devices observing the same object. Thus, the di↵erences in perspectives can be identified and compensated for.
The... (More) - Machine calibration is important for optimal performance throughout the lifespan of industrial processes. A prime example is the pick-and-place process, where robots must manipulate objects accurately. Currently, this process is manually calibrated, which can be a complex practice. This thesis studies a software-based approach to error detection within the process, aiming to reduce the need for manual calibration.
By utilizing existing sensors within the process, the method identifies translation and rotational errors within the system. The proposed approach involves measuring and comparing the perspective of mechatronic devices observing the same object. Thus, the di↵erences in perspectives can be identified and compensated for.
The findings indicate promising results, demonstrating that the process could be cal- ibrated with an accuracy of a few millimeters using the proposed method. Moreover, the method is cost-e↵ective and quick to execute.
In summary, this thesis demonstrates the possibility of implementing a software-based approach for calibrating the pick-and-place process. This approach has been demon- strated to be accurate, quick, and simple to use, making it a potential alternative to manual calibration. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9170029
- author
- Kalvenes, Rasmus LU and Joelsson, Oskar
- supervisor
- organization
- alternative title
- En mjukvarubaserad kalibreringsmetod för en pick-and-place-process
- course
- EIEM01 20241
- year
- 2024
- type
- H3 - Professional qualifications (4 Years - )
- subject
- publication/series
- CODEN:LUTEDX/TEIE
- report number
- 5518
- language
- English
- id
- 9170029
- date added to LUP
- 2024-10-02 15:40:59
- date last changed
- 2024-10-02 15:40:59
@misc{9170029,
abstract = {{Machine calibration is important for optimal performance throughout the lifespan of industrial processes. A prime example is the pick-and-place process, where robots must manipulate objects accurately. Currently, this process is manually calibrated, which can be a complex practice. This thesis studies a software-based approach to error detection within the process, aiming to reduce the need for manual calibration.
By utilizing existing sensors within the process, the method identifies translation and rotational errors within the system. The proposed approach involves measuring and comparing the perspective of mechatronic devices observing the same object. Thus, the di↵erences in perspectives can be identified and compensated for.
The findings indicate promising results, demonstrating that the process could be cal- ibrated with an accuracy of a few millimeters using the proposed method. Moreover, the method is cost-e↵ective and quick to execute.
In summary, this thesis demonstrates the possibility of implementing a software-based approach for calibrating the pick-and-place process. This approach has been demon- strated to be accurate, quick, and simple to use, making it a potential alternative to manual calibration.}},
author = {{Kalvenes, Rasmus and Joelsson, Oskar}},
language = {{eng}},
note = {{Student Paper}},
series = {{CODEN:LUTEDX/TEIE}},
title = {{Software-Driven Calibration Method for a Pick-and-Place Process}},
year = {{2024}},
}