Coupling Mechanism

Coupling mechanisms, encompassing the interaction and integration of diverse systems, are a central focus in various scientific fields. Current research emphasizes developing robust and efficient coupling strategies across diverse domains, including robotics (e.g., tensegrity-based compliant mechanisms, soft-rigid body interactions), signal processing (e.g., LiDAR-inertial odometry, multi-sensor fusion), and machine learning (e.g., integrating neural networks with logical reasoning, deep unfolding of probabilistic models). These advancements are improving the performance and capabilities of complex systems in applications ranging from assistive robotics and autonomous vehicles to space weather forecasting and soft sensor development.