For me personally, I like the idea of integrating both approaches, especially demistifying the idea of general-purpose 6DOF robotic manipulation.
My thinking on this is: If the lab capabilities are unique, expensive, and difficult to simplify, package, and execute knowledge transfer, a decentralized model seems ideal. An example would be a lab that uses an expensive and limited resource like atom probe tomography.
Whereas, if it’s relatively ubiquitous capabilities you find in labs across the world, then democratized in-house systems make sense, as it’s easy to instruct, package, and transfer knowledge. This is also great for training.
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For me it should be both. There are many common equipment challenges, and integrating systems into a design workflow that everyone would benefit from this approach.
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