Express System

"Express systems" encompass a broad range of research focusing on optimizing efficiency and communication within dynamic systems, from package delivery networks to human-robot interaction. Current research emphasizes developing intelligent algorithms, such as end-to-end predict-then-optimize clustering methods and explainable neural networks (e.g., residual networks), to improve prediction accuracy and decision-making in these systems. These advancements aim to enhance operational efficiency in logistics and improve the naturalness and effectiveness of human-robot collaboration by enabling robots to communicate intent through nuanced movements. The resulting improvements have significant implications for both industrial automation and the design of more intuitive and collaborative robotic systems.