Floor Plan

Floor plan research focuses on automatically generating, understanding, and utilizing floor plan representations for various applications, primarily in robotics, architectural design, and urban planning. Current research employs diverse approaches, including vision-language models, graph neural networks, transformer networks, and diffusion models, to tackle tasks such as floor plan generation, reconstruction from various data sources (e.g., point clouds, images), and semantic understanding for tasks like navigation and evacuation planning. These advancements are improving efficiency and automation in building design, robot navigation, and urban modeling, leading to more efficient and effective solutions in these fields.