Mechatronic Design

Mechatronic design integrates mechanical, electrical, and computer engineering to create intelligent systems, focusing on achieving precise control and robust performance in complex applications. Current research emphasizes advanced control algorithms, such as nonlinear model predictive control (NMPC) with asynchronous updates for real-time motion planning, and robust optimal control for reliable simulation-to-reality transfer. These advancements are driving improvements in diverse fields, including robotics (e.g., legged robots, autonomous vehicles, and robotic arms), automation (e.g., parallel manipulators for rehabilitation), and human-machine interaction (e.g., systems for analyzing conducting techniques).