English | 2022 | ISBN: 0323857876 | 638 pages | True pdf, epub | 77.18 MB
Deep Learning for Robot Perception and Cognitionintroduces 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 methodologiesExplains the principles of applying end-to-end learning in robotics applicationsPresents how to design and train deep learning modelsShows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and moreUses robotic simulation environments for training deep learning modelsApplies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

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