
Deep Learning for Robot Perception and Cognition
- 1st Edition - February 4, 2022
- Imprint: Academic Press
- Editors: Alexandros Iosifidis, Anastasios Tefas
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 8 5 7 8 7 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 8 8 5 7 2 - 0
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 method… Read more

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Request a sales quote- 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
1. Introduction
2. Neural Networks and Backpropagation
3. Convolutional Neural Networks
4. Graph Convolutional Networks
5. Recurrent Neural Networks
6. Deep Reinforcement Learning
7. Lightweight Deep Learning
8. Knowledge Distillation
9. Progressive and Compressive Deep Learning
10. Representation Learning and Retrieval
11. Object Detection and Tracking
12. Semantic Scene Segmentation for Robotics
13. 3D Object Detection and Tracking
14. Human Activity Recognition
15. Deep Learning for Vision-based Navigation in Autonomous Drone Racing
16. Robotic Grasping in Agile Production
17. Deep learning in Multiagent Systems
18. Simulation Environments
19. Biosignal time-series analysis
20. Medical Image Analysis
21. Deep learning for robotics examples using OpenDR
- Edition: 1
- Published: February 4, 2022
- No. of pages (Paperback): 634
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323857871
- eBook ISBN: 9780323885720
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Alexandros Iosifidis
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