An affordable Arduino-based IoT setup generates real-time optical data for students to compare traversal, Bayesian, and deep learning methods in a self-driving experimental workflow.
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Large language models can generate custom scripts for scientific instrument control and extend into autonomous AI agents that operate equipment and refine strategies without constant human input.
citing papers explorer
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Building an Affordable Self-Driving Lab: Practical Machine Learning Experiments for Physics Education Using Internet-of-Things
An affordable Arduino-based IoT setup generates real-time optical data for students to compare traversal, Bayesian, and deep learning methods in a self-driving experimental workflow.
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Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models
Large language models can generate custom scripts for scientific instrument control and extend into autonomous AI agents that operate equipment and refine strategies without constant human input.