Daniel Vidal Soroa

Daniel Vidal Soroa is a Professor at the Technical University of Munich (TUM), affiliated with the Department of Materials Handling, Material Flow, Logistics. His research focuses on enhancing precision and autonomy in robotic systems for industrial environments, particularly through advanced techniques in Simultaneous Localization and Mapping (SLAM), 3D object detection, and sensor fusion.

Research Interests: Daniel specializes in developing autonomous robotics solutions for logistics and construction sectors. Projects like High Precision SLAM and CoCoRo highlight his work in achieving sub-millimetric accuracy in indoor localization and transitioning construction sites toward autonomous operations using intelligent machinery.

Advising & Collaborations: He actively engages students in research opportunities related to autonomous robots, computer vision, and logistics automation, offering roles in bachelor’s, master’s, and semester projects.