Iosifidis Alexandros, Tefas Anastasios. Deep Learning for Robot Perception and Cognition

Academic Press, 2022. — 638 p.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