Alexandros Iosifidis,
Anastasios Tefas
Deep Learning for Robot Perception and Cognition
Paperback Engels 2022 9780323857871Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
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Inhoudsopgave
<p>1. Introduction<br>2. Neural Networks and Backpropagation<br>3. Convolutional Neural Networks<br>4. Graph Convolutional Networks<br>5. Recurrent Neural Networks<br>6. Deep Reinforcement Learning<br>7. Lightweight Deep Learning<br>8. Knowledge Distillation<br>9. Progressive and Compressive Deep Learning<br>10. Representation Learning and Retrieval<br>11. Object Detection and Tracking<br>12. Semantic Scene Segmentation for Robotics<br>13. 3D Object Detection and Tracking<br>14. Human Activity Recognition<br>15. Deep Learning for Vision-based Navigation in Autonomous Drone Racing<br>16. Robotic Grasping in Agile Production<br>17. Deep learning in Multiagent Systems<br>18. Simulation Environments<br>19. Biosignal time-series analysis<br>20. Medical Image Analysis<br>21. Deep learning for robotics examples using OpenDR </p>
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