Artificial vision and language processing for robotics :: create end-to-end systems that can power robots with artificial vision and deep learning techniques /
Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processi...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2019.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video. By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment. Explore the ROS and build a basic robotic system ; Understand the architecture of neural networks ; Identify conversation intents with NLP techniques ; Learn and use the embedding with Word2Vec and GloVe ; Build a basic CNN and improve it using generative models ; Use deep learning to implement artificial intelligence (AI) and object recognition ; Develop a simple object recognition system using CNNs ; Integrate AI with ROS to enable your robot to recognize objects. Artificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus. |
| Beschreibung: | 1 online resource : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781838557669 1838557660 |
Internformat
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| 245 | 1 | 0 | |a Artificial vision and language processing for robotics : |b create end-to-end systems that can power robots with artificial vision and deep learning techniques / |c Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre. |
| 246 | 3 | 0 | |a Create end-to-end systems that can power robots with artificial vision and deep learning techniques |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2019. | |
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| 505 | 0 | |a Fundamentals of robotics -- Introduction to computer vision -- Fundamentals of natural language processing -- Neural networks with NLP -- Convolutional neural networks for computer vision -- Robot Operating System (ROS) -- Build a text-based dialogue system (Chatbot) -- Object recognition to guide a robot using CNNs -- Computer vision for robotics. | |
| 520 | |a Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video. By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment. Explore the ROS and build a basic robotic system ; Understand the architecture of neural networks ; Identify conversation intents with NLP techniques ; Learn and use the embedding with Word2Vec and GloVe ; Build a basic CNN and improve it using generative models ; Use deep learning to implement artificial intelligence (AI) and object recognition ; Develop a simple object recognition system using CNNs ; Integrate AI with ROS to enable your robot to recognize objects. Artificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Artificial vision. |0 http://id.loc.gov/authorities/subjects/sh85008251 | |
| 650 | 0 | |a Robotics. |0 http://id.loc.gov/authorities/subjects/sh85114628 | |
| 650 | 0 | |a Natural language processing (Computer science) |0 http://id.loc.gov/authorities/subjects/sh88002425 | |
| 650 | 0 | |a Neural networks (Computer science) |0 http://id.loc.gov/authorities/subjects/sh90001937 | |
| 650 | 2 | |a Robotics |0 https://id.nlm.nih.gov/mesh/D012371 | |
| 650 | 2 | |a Natural Language Processing |0 https://id.nlm.nih.gov/mesh/D009323 | |
| 650 | 2 | |a Neural Networks, Computer |0 https://id.nlm.nih.gov/mesh/D016571 | |
| 650 | 6 | |a Vision artificielle (Cécité) | |
| 650 | 6 | |a Robotique. | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 7 | |a Artificial vision |2 fast | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
| 650 | 7 | |a Robotics |2 fast | |
| 700 | 1 | |a Molina Gallego, Gonzalo, |e author. | |
| 700 | 1 | |a Garay Maestre, Unai, |e author. | |
| 758 | |i has work: |a Artificial Vision and Language Processing for Robotics (Work) |1 https://id.oclc.org/worldcat/entity/E39PCXCP3TwJdMPYdDfyVQq4v3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Alberola, Álvaro Morena. |t Artificial vision and language processing for robotics. |d Birmingham : Packt Publishing, 2019 |z 9781838552268 |w (OCoLC)1081397123 |
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| author | Morena Alberola, Álvaro Molina Gallego, Gonzalo Garay Maestre, Unai |
| author_facet | Morena Alberola, Álvaro Molina Gallego, Gonzalo Garay Maestre, Unai |
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| contents | Fundamentals of robotics -- Introduction to computer vision -- Fundamentals of natural language processing -- Neural networks with NLP -- Convolutional neural networks for computer vision -- Robot Operating System (ROS) -- Build a text-based dialogue system (Chatbot) -- Object recognition to guide a robot using CNNs -- Computer vision for robotics. |
| ctrlnum | (OCoLC)1101047599 |
| dewey-full | 629.892 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.892 |
| dewey-search | 629.892 |
| dewey-sort | 3629.892 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Electronic eBook |
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| indexdate | 2024-11-27T13:29:28Z |
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| spelling | Morena Alberola, Álvaro, author. Artificial vision and language processing for robotics : create end-to-end systems that can power robots with artificial vision and deep learning techniques / Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre. Create end-to-end systems that can power robots with artificial vision and deep learning techniques Birmingham, UK : Packt Publishing, 2019. ©2019 1 online resource : illustrations text txt rdacontent still image sti rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Fundamentals of robotics -- Introduction to computer vision -- Fundamentals of natural language processing -- Neural networks with NLP -- Convolutional neural networks for computer vision -- Robot Operating System (ROS) -- Build a text-based dialogue system (Chatbot) -- Object recognition to guide a robot using CNNs -- Computer vision for robotics. Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video. By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment. Explore the ROS and build a basic robotic system ; Understand the architecture of neural networks ; Identify conversation intents with NLP techniques ; Learn and use the embedding with Word2Vec and GloVe ; Build a basic CNN and improve it using generative models ; Use deep learning to implement artificial intelligence (AI) and object recognition ; Develop a simple object recognition system using CNNs ; Integrate AI with ROS to enable your robot to recognize objects. Artificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus. Print version record. Artificial vision. http://id.loc.gov/authorities/subjects/sh85008251 Robotics. http://id.loc.gov/authorities/subjects/sh85114628 Natural language processing (Computer science) http://id.loc.gov/authorities/subjects/sh88002425 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Robotics https://id.nlm.nih.gov/mesh/D012371 Natural Language Processing https://id.nlm.nih.gov/mesh/D009323 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Vision artificielle (Cécité) Robotique. Traitement automatique des langues naturelles. Réseaux neuronaux (Informatique) Artificial vision fast Natural language processing (Computer science) fast Neural networks (Computer science) fast Robotics fast Molina Gallego, Gonzalo, author. Garay Maestre, Unai, author. has work: Artificial Vision and Language Processing for Robotics (Work) https://id.oclc.org/worldcat/entity/E39PCXCP3TwJdMPYdDfyVQq4v3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Alberola, Álvaro Morena. Artificial vision and language processing for robotics. Birmingham : Packt Publishing, 2019 9781838552268 (OCoLC)1081397123 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2116427 Volltext |
| spellingShingle | Morena Alberola, Álvaro Molina Gallego, Gonzalo Garay Maestre, Unai Artificial vision and language processing for robotics : create end-to-end systems that can power robots with artificial vision and deep learning techniques / Fundamentals of robotics -- Introduction to computer vision -- Fundamentals of natural language processing -- Neural networks with NLP -- Convolutional neural networks for computer vision -- Robot Operating System (ROS) -- Build a text-based dialogue system (Chatbot) -- Object recognition to guide a robot using CNNs -- Computer vision for robotics. Artificial vision. http://id.loc.gov/authorities/subjects/sh85008251 Robotics. http://id.loc.gov/authorities/subjects/sh85114628 Natural language processing (Computer science) http://id.loc.gov/authorities/subjects/sh88002425 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Robotics https://id.nlm.nih.gov/mesh/D012371 Natural Language Processing https://id.nlm.nih.gov/mesh/D009323 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Vision artificielle (Cécité) Robotique. Traitement automatique des langues naturelles. Réseaux neuronaux (Informatique) Artificial vision fast Natural language processing (Computer science) fast Neural networks (Computer science) fast Robotics fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85008251 http://id.loc.gov/authorities/subjects/sh85114628 http://id.loc.gov/authorities/subjects/sh88002425 http://id.loc.gov/authorities/subjects/sh90001937 https://id.nlm.nih.gov/mesh/D012371 https://id.nlm.nih.gov/mesh/D009323 https://id.nlm.nih.gov/mesh/D016571 |
| title | Artificial vision and language processing for robotics : create end-to-end systems that can power robots with artificial vision and deep learning techniques / |
| title_alt | Create end-to-end systems that can power robots with artificial vision and deep learning techniques |
| title_auth | Artificial vision and language processing for robotics : create end-to-end systems that can power robots with artificial vision and deep learning techniques / |
| title_exact_search | Artificial vision and language processing for robotics : create end-to-end systems that can power robots with artificial vision and deep learning techniques / |
| title_full | Artificial vision and language processing for robotics : create end-to-end systems that can power robots with artificial vision and deep learning techniques / Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre. |
| title_fullStr | Artificial vision and language processing for robotics : create end-to-end systems that can power robots with artificial vision and deep learning techniques / Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre. |
| title_full_unstemmed | Artificial vision and language processing for robotics : create end-to-end systems that can power robots with artificial vision and deep learning techniques / Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre. |
| title_short | Artificial vision and language processing for robotics : |
| title_sort | artificial vision and language processing for robotics create end to end systems that can power robots with artificial vision and deep learning techniques |
| title_sub | create end-to-end systems that can power robots with artificial vision and deep learning techniques / |
| topic | Artificial vision. http://id.loc.gov/authorities/subjects/sh85008251 Robotics. http://id.loc.gov/authorities/subjects/sh85114628 Natural language processing (Computer science) http://id.loc.gov/authorities/subjects/sh88002425 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Robotics https://id.nlm.nih.gov/mesh/D012371 Natural Language Processing https://id.nlm.nih.gov/mesh/D009323 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Vision artificielle (Cécité) Robotique. Traitement automatique des langues naturelles. Réseaux neuronaux (Informatique) Artificial vision fast Natural language processing (Computer science) fast Neural networks (Computer science) fast Robotics fast |
| topic_facet | Artificial vision. Robotics. Natural language processing (Computer science) Neural networks (Computer science) Robotics Natural Language Processing Neural Networks, Computer Vision artificielle (Cécité) Robotique. Traitement automatique des langues naturelles. Réseaux neuronaux (Informatique) Artificial vision |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2116427 |
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