_Deep Learning for Robot Perception and Cognition_ introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. * Presents deep learning principles and methodologies * Explains the principles of applying end-to-end learning in robotics applications * Presents how to design and train deep learning models * Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more * Uses robotic simulation environments for training deep learning models * Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis