Assembly Line

Assembly line optimization is a vibrant research area focused on improving efficiency, safety, and human-robot collaboration in manufacturing. Current research emphasizes leveraging computer vision, particularly lightweight models like those based on knowledge distillation and the Segment Anything Model (SAM), to analyze worker actions, optimize task scheduling, and enable real-time monitoring. These advancements, often incorporating wearable sensors and multimodal data fusion techniques, aim to enhance productivity and ergonomics in industrial settings, with a growing focus on robust and adaptable systems capable of handling the uncertainties inherent in human-robot teams.