Event cameras, also called neuromorphic cameras or silicon retinas, are novel vision sensors that mimic functions from the human retina and offer potential advantages over traditional cameras (low latency, high speed, high dynamic range, bandwidth savings, low power, etc.). This talk will provide an overview of how event-based cameras are becoming more and more widely spread in multiple applications in computer vision and robotics (monitoring, tracking, motion estimation, recognition, etc.). I will also present recent advances from the Robotic Interactive Perception Lab at TU Berlin in motion segmentation and optical flow estimation, avoiding the phenomenon of event collapse Guillermo Gallego Associate Professor Technische Universität Berlin Einstein Center Digital Future