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Deep Learning for Robot Perception and Cognition

Deep Learning for Robot Perception and Cognition

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Deep Learning for Robot Perception and Cognition

Deep Learning for Robot Perception and Cognition

Category

Deep Learning

Neural Networks

Author

Anastasios Tefas

Publication

Academic Press

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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

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ISBN-10

ISBN-13

9780323857871

Publisher

Academic Press

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File Type

PDF

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Anastasios Tefas

Anastasios Tefas

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Review

Teaches readers how to apply deep learning principles to robot vision and perception --This text refers to the paperback edition.

From the Back Cover

Traditional robotic systems rely on extensive feature engineering for sensor data and environment state representation, followed by data analysis steps that are usually disconnected from the data representation. Deep Learning-based methodologies, however, combine all these steps in an end-to-end learning based process which is optimized through experience, enabling the identification and exploitation of complex patterns in sensory data, leading to higher performance levels and robust solutions in real-time.

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. It 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.

Deep Learning for Robot Perception and Cognition is a textbook and reference suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics and Deep Learning focusing on Robotic perception and cognition tasks.

--This text refers to the paperback edition.

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