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