Invited talk: Andres Marrugo, Universidad Tecnológica de Bolívar
3D sensing technologies enhanced via Deep Learning and Digital Twins
Abstract: 3D sensing technologies play a crucial role in modern industrial and research applications, ranging from autonomous systems to precision engineering. The integration of Deep Learning enables more accurate interpretation of spatial data, while Digital Twins provide realistic and dynamic simulations of physical objects and environments. Together, these approaches significantly enhance the efficiency, predictive capabilities, and adaptability of 3D sensing systems.
Who: Andres Marrugo, Universidad Tecnológica de Bolívar
Profile: Google Scholar
When: 02:00 p.m. Tuesday, April 1 2025
Where: The session will occur physically at the Institute of Information Theory and Automation (UTIA) in room 45.
Language: English