Skip to main content

Research Repository

Advanced Search

Frequency scanning interferometry for accurate robot position measurement

Isa, Mohammed A; Khanesar, Mojtaba A; Leach, Richard; Branson, David; Piano, Samanta

Frequency scanning interferometry for accurate robot position measurement Thumbnail


Authors

Profile Image

DAVID BRANSON DAVID.BRANSON@NOTTINGHAM.AC.UK
Professor of Dynamics and Control



Abstract

This paper presents a frequency scanning interferometry (FSI) shortwave infrared (IR) setup developed for position and orientation measurement of industrial robots. Within contemporary and future industrial frameworks, robots—in particular collaborative robots (cobots)—will play an important role in ensuring safe and coherent automation of manufacturing processes. Robots are generally regarded as a means to improve performance and reduce production costs through improved production efficiency, versatility and adaptability. However, due to high flexibility and compliance imposed for safety reasons, exact coordinate positions of robots during operation can vary significantly from desired positions. Systematic positioning errors are further exacerbated by backlash from wear and tear in motors and motion joints. Accurate measurement feedback is therefore required to satisfy performance requirements in high-accuracy applications. Common state-of-the-art solutions for high-accuracy applications involve the use of either costly laser tracking systems or less accurate photogrammetric systems. FSI can provide an alternative metrological solution for the measurement of position feedback for robots. Unlike conventional interferometry that measures relative displacements, FSI can be used for absolute distance measurement eliminating the need for continuous displacement of targets from reference positions during measurements. An optical fibre FSI setup has been developed to address requirements needed for measurement of robotic end-effector position and orientation. Some of the requirements considered include pose measurements, wide measurement field of view, sensitivity to moving targets and identification of multiple targets when displaced. Absolute distances of reflective targets mounted on the end-effector of a UR5 robot can be measured using frequency analysis of the interference intensity resulting from the interaction of frequency tuned IR light and the reflections of the light from the targets. Reflected light from each target interferes with a beat frequency that corresponds to the target distance. After target distances are determined from the beat frequencies, methods of determining robotic coordinate positions are investigated. Preliminary results indicate that real-time calibration of swept frequency using gas cell and frequency analysis of interference data are promising for robotic FSI position measurement. Future work will integrate the suitable elements of the FSI measurement systems for robotic tracking and comparative uncertainty analysis.

Citation

Isa, M. A., Khanesar, M. A., Leach, R., Branson, D., & Piano, S. (2022). Frequency scanning interferometry for accurate robot position measurement. In Proceedings of 22nd International Conference & Exhibition

Conference Name 22nd International Conference & Exhibition
Conference Location Geneva, Switzerland
Start Date May 30, 2022
End Date Jun 3, 2022
Acceptance Date Mar 18, 2022
Online Publication Date May 30, 2022
Publication Date May 30, 2022
Deposit Date Jun 8, 2022
Publicly Available Date Jun 20, 2022
Publisher European Society for Precision Engineering and Nanotechnology
Series Title euspen’s international conference and exhibition
Book Title Proceedings of 22nd International Conference & Exhibition
Keywords Frequency scanning interferometry; position measurement; uncertainty
Public URL https://nottingham-repository.worktribe.com/output/8394145
Publisher URL https://www.euspen.eu/euspen-knowledge-base/proceedings-search/#!/resource_title=accurate%20robot%20position%20measurement
Related Public URLs https://www.euspen.eu/euspen-knowledge-base/proceedings/#

Files




You might also like



Downloadable Citations