The mission of the Visual Computing, Graphics and Artificial intelligence (VGA) Lab is to solve challenging computational problems in social computing areas, including crowd and collective dynamics and artificial intelligence in computational design. More specifically, we are interested in understanding the dynamics underlying human motion in a space and devising computational approaches for designing better spaces for people. To that end, we utilize tools from a wide range of disciplines, from computer graphics, visualizations and physics-based simulations, to machine learning and computer vision. Current projects include the development of computational algorithms for the automatic synthesis of architectural spaces; computational approaches to select style-compatible furniture for rooms; interactive systems for the design of virtual spaces; and the creation of pedestrian and group dynamics models and their application to robots and swarms.
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