Autonomous systems integrate various components such as sensors, data acquisition units, and computational algorithms. Sensors continuously monitor reaction parameters like temperature, pressure, and concentration of reactants and products. Data acquisition units collect this information and feed it into ML algorithms that predict optimal reaction conditions. The system then autonomously adjusts the parameters to maintain optimal performance.
