Machine Learning Enables Stable Long-Term Control in Microfluidic Experiments


Reinforcement learning has been successfully used for stable long-term droplet generation and laminar flow control experiments


Dr. Oliver Dressler from our group has developed a novel machine learning-based control methodology for stable long-term experiments in microfluidics. In his experiments, he has successfully shown human-like and in some cases, super-human-like performances using reinforcement learning-based algorithms.