Kostas Daniilidis

Kostas Daniilidis is the Ruth Yalom Stone Professor of Computer and Information Science at the University of Pennsylvania, internationally recognized for influential contributions to computer vision and robotic perception. His research investigates how autonomous systems perceive motion, geometry, and spatial structure, emphasizing the interplay between camera design, geometric representations, and visual appearance. Daniilidis has advanced core areas such as panoramic imaging, large-scale mapping, localization, self-motion perception, neural representations of 3D scenes, deformation modeling, and visual place recognition. His work also explores event-based vision, equivariant neural networks, vision-language navigation, and multi-sensory data association. These research directions have broad applications in robot navigation, autonomous exploration, tele-immersion systems, 3D reconstruction, retrieval of shapes and images, and distributed perception in multi-agent environments. Daniilidis’ group integrates theoretical rigor with experimental systems and has shaped modern geometric vision techniques used widely in robotics and computational perception.