Swipe SwipeGANSpace SwipeBot

Research on "Swipe" related technologies spans diverse applications, focusing on improving human-computer interaction and automating complex tasks. Current efforts center on developing robotic systems for delicate procedures like nasopharyngeal swabbing, leveraging visual servoing, compliant control, and machine learning for accurate and safe operation, even with patient movement. These advancements utilize techniques such as convolutional neural networks for object classification and path planning, and reinforcement learning for personalized user experiences in applications like pharmaceutical e-commerce. The overall goal is to enhance efficiency, safety, and user experience across healthcare and other domains through innovative robotic and AI-driven solutions.