DOE OSTI · 2572368
Robotic Assembly of Multi-Chip Modules Using Artificial Intelligence
Abstract
With many properties of dark matter remaining a mystery, the OSCURA experiment aims to detect light dark matter particles using 1,536 Multi-Chip Modules (MCMs), containing a total of 24,576 skipper CCDs. Currently, each MCM is assembled by hand a time-consuming and error-prone process that can be automated. In this ongoing work, we present an automated assembly robot that leverages modern computer vision and artificial intelligence to assemble the OSCURA MCMs. This approach reduces cost, time, and error in the packaging of OSCURA sensors.
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Arteaga, Matthew [Northern Illinois U.; Fermilab]. 2025-07-14. Robotic Assembly of Multi-Chip Modules Using Artificial Intelligence. https://doi.org/10.2172/2572368
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