Efficient Engine

Efficient engine research spans diverse applications, from robotics and autonomous vehicles to medical diagnostics and industrial processes, aiming to optimize performance, reduce energy consumption, and enhance reliability. Current efforts focus on developing advanced control schemes, leveraging machine learning (including neural networks and reinforcement learning) for model building, parameter estimation, and anomaly detection, and employing novel simulation techniques for design optimization and data generation. These advancements are improving the efficiency and capabilities of various systems, impacting fields ranging from healthcare (e.g., Parkinson's disease assessment) to manufacturing (e.g., motor design and remanufacturing) and transportation (e.g., hybrid vehicle powertrains).