AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Lab automation is a key enabler of algorithmic-driven research in materials science, by increasing the throughput and accelerating experimental workflows researchers can generate the large amounts of experimental datasets required...
Self-driving laboratories (SDLs) integrate robotic experimentation and machine learning to autonomously navigate complex chemical and materials search spaces-but their development demands simultaneous mastery of experimental parameterisation, automated measurement, and optimisation...
This work presents a template-based platform that separates workflow design from execution in self-driving laboratories and shows promise in translating scientific intent into executable automated workflows.
There is a large amount of information about modular systems used in robotic complexes, but most of the information is about the robot or program- ming platform, rather than the modules themselves, which have limited informa- tion about their technical specifi cations. There is currently no unifi ed document for the de...
An approach that does not scale to wide floors where robots must operate multiple machines with various procedures, where human operators can flexibly follow manuals that specify ordered steps, preconditions is suggested.
An air-dropped robot autorotates to the water and sails off, assembling bioinspired parts into a feat nature has not achieved.
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