Authors: Florian Leutert, David Bohlig, Florian Kempf, Klaus Schilling, Maximilian Mühlbauer, Bengisu Ayan, Thomas Hulin, Freek Stulp, Alin Albu-Schäffer, Vladimir Kutscher, Christian Plesker, Thomas Dasbach, Stephan Damm, Reiner Anderl, Benjamin Schleich

Published on: January 31, 2024

Impact Score: 8.15

Arxiv code: Arxiv:2401.17799

Summary

• What is new: A novel approach integrating AI for fault detection and teleoperated robot control in an in-orbit factory for manufacturing small satellites.
• Why this is important: The demand for small satellite formations is increasing, alongside challenges such as high launch costs, risks, and the need for on-demand satellite deployment.
• What the research proposes: An AI-enabled Cyber-Physical In-Orbit Factory using digital process twins, AI for fault detection, and teleoperated robot control to automate satellite production.
• Results: Developed technologies enable more robust, fault-tolerant, and autonomous satellite production processes in space.

Technical Details

Technological frameworks used: AI-enabled Cyber-Physical In-Orbit Factory project

Models used: Neural networks for optical and electrical fault detection, force sensitive measuring, motion training for assembly.

Data used: Satellite component data for fault detection, process data for the Digital Process Twin.

Potential Impact

Satellite manufacturing and launch industries, companies in telecommunication, earth observation, and space exploration sectors.

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