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In digital microfluidics (DMF),transportation of droplets was determined by the on-off output (0 or 1) of its control system,which applies a voltage on the actuation electrodes underneath and thereby generates unidirectional electrowetting forces on droplets.Such an actuation mechanism provides a technical shortcut to the programmability of automation functions and even more advanced intelligent control,the latter of which autonomously coordinates objects in accordance to human intelligence and experiences.Here we present a way of establishing an intelligent control-engaged actuation and routing system for droplets on DMF chips.First,we looked into the intricacy of a digital droplet in their hydrodynamics by real-time impedance measurement [1] and image capture; second,based on the data obtained from hydrodynamic studies,we used a fuzzy control module to coordinate the charging timing of working electrodes and an overall 20% shorter actuating time was obtained,compared with that engaged in a proportional-integral-derivative controller (PID controller) [2]; third,we established a routing coordinator for multiple digital droplets while providing a possibility for an autonomous and preliminary "fire-and-forget" management function.