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Calibration of Multi-Robot Cooperative Systems Using Deep Neural Networks
Using machine learning to calibrate dual-arm robotic systems for precision aerospace manufacturing
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- Research Prototype
- Published
- Who made it?
Ali Maghami
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Publication
Authors: Maghami, A., Imbert, A., Côté, G., Monsarrat, B., Birglen, L., and Khoshdarregi, M.
Journal: Journal of Intelligent & Robotic Systems, 2023
Overview
This research explores using deep neural networks to calibrate multi-robot systems, with application to precision aerospace assembly.
Problem
Traditional calibration methods struggle when two robotic arms must work together with sub-millimeter precision. We explored whether machine learning could help improve this process.
Approach
We trained neural networks to learn and compensate for calibration errors from robotic measurement data, enabling more accurate cooperative positioning.
Results
The methods were validated across multiple robot configurations and assembly scenarios, demonstrating practical potential for manufacturing environments.