Nico Blodow is a Scientist for the Open Perception foundation, and a core member of the PCL development team. Nico is currently finishing his PhD degree in 3D perception and spatio-temporal reasoning at the Intelligent Autonomous Systems group, part of TUM. During his studies, he was a Visiting Scholar at Carnegie Mellon University and at Willow Garage, investigating the first iteration of CUDA-based point cloud algorithms in PCL. Various algorithms in PCL were written or heavily influenced by him, especially in the areas of registration, model fitting and feature descriptors. He has co-/authored over 20 peer-reviewed scientific publications, co-organized several workshops, summer schools and tutorials and has recently started the development of a large-scale semantic spatio-temporal perception and memory system to enable service robotics to handle real-life task complexity. Nico’s scientific publications received over 550 citations in the past 4 years for his contributions to the 3D perception and mapping research field.