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. 

Profile: Google Scholar

Who: Andres Marrugo, Universidad Tecnológica de Bolívar

When: 02:00 p.m. Tuesday, April 1

Where: The session will occur physically at the Institute of Information Theory and Automation (UTIA) in room 45 (café). For directions to the institute, please refer to the following link: https://zoi.utia.cas.cz/index.php/contact

Language: English

Zoom: https://cesnet.zoom.us/j/95065281700