Calibration of Multi-Robot Cooperative Systems Using Deep Neural Networks

Using machine learning to calibrate dual-arm robotic systems for precision aerospace manufacturing

Stage
Research Prototype
Published
Who made it?
Ali Maghami
Tags
Deep LearningRoboticsCalibrationAerospaceResearch
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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.