Deep Learning for Robot Perception and Cognition

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.

Key Topics Covered

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