Place

Research on "place" spans diverse fields, focusing on its representation, understanding, and manipulation within both physical and digital environments. Current efforts concentrate on developing robust algorithms and models, such as transformer networks and equivariant neural networks, for tasks like robotic pick-and-place, scene understanding from images and videos (including street view imagery), and geolocation of events in textual data. These advancements are crucial for improving human-robot interaction, automating digital tasks, and enhancing applications in areas like humanitarian aid and assistive technologies for aging populations.