Deep Learning for Robot Perception and Cognition
Language: English
Published by Elsevier Science, 2022
- Softcover
- New
Seller: moluna, Greven, Germanymoluna
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- Title
- Deep Learning for Robot Perception and Cognition
- Publisher
- Elsevier Science
- Publication year
- 2022
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0323857876
- ISBN 13
- 9780323857871
- 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
"Synopsis" may belong to another edition of this title.
About the Author
Computational Intelligence group at the Department of Electrical and Computer Engineering. He received his Ph.D.
from the Department of Informatics at Aristotle University of Thessaloniki, Greece in 2014. He participated in more
than 15 research and development projects financed by national and European funds.
Anastasios Tefas received the B.Sc. in Informatics in 1997 and the Ph.D. degree in Informatics in 2002, both from
the Aristotle University of Thessaloniki, Greece. Since 2017, he has been an Associate Professor at the Department of
Informatics, Aristotle University of Thessaloniki. Dr. Tefas participated in 20 research projects financed by national and
European funds. He is the coordinator of the H2020 project OpenDR, “Open Deep Learning Toolkit for Robotics.
"About the title" may belong to another edition of this title.
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