An efficient training of AI systems is heavily relying in the quality and density of data involved. Different imaging modes, with different failure modes, are the optimal solution for reliable and accurate sensng in robotic applications in different environments. However, the complexity and integration of multiple imaging modes including lidar and different types of imagers may be complex. In this talk we will introduce our multimodal imaging unit combining several imaging modes in one single unit enabing seamless change from one imaging mode to the next one and thus more reliable and accurate perception systems.
Santiago Royo, PhD, is currently professor at UPC and VP of Business Development of Beamagine S.L (2016, Barcelona), a company devoted to the development and commercialization of novel 3D electrooptic vision systems based on lidar imaging. He is cofounder of two more photonics-based spin-off companies: SnellOptics (2002,Terrassa, Spain), devoted to marketing quality plastic optical components; and ObsTech SpA (2012, Santiago, Chile) commercializing systems for internet-controlled telescopes. He holds 17 patents, 11 of them licensed to four different companies, and over 50 refereed publications. He has been Director of the Center for Sensor, Instruments and System Development (CD6), a research and innovation center in Optical Engineering in Greater Barcelona for the last 10 years, and has participated and led research projects involving different optical metrology techniques for the last 20 years. He is also member of the Board of Stakeholders of Photonics21, and co-secretary of the Spanish Platform for Photonics Fotónica21.