Neural networks for robotics: an engineering perspective
The book offers the reader the insight on artificial neural networks for giving a robot a high level of autonomy tasks such as navigation, object recognition, and clustering, with real-time implementations. These methodologies include real-life scenarios to implement a wide range of artificial neura...
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| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boca Raton, FL
CRC Press/Taylor & Francis Group
2018
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| Subjects: | |
| Online Access: | FHN01 |
| Summary: | The book offers the reader the insight on artificial neural networks for giving a robot a high level of autonomy tasks such as navigation, object recognition, and clustering, with real-time implementations. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures to solve different kinds of problems encountered in autonomous navigation and object recognition problems. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object recognition, clustering of obstacles, cost mapping of environments, path planning, and vision to low level control... |
| Item Description: | "A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.". - Includes bibliographical references and index |
| Physical Description: | 1 Online-Ressource (xvii, 209 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781351231787 |
Staff View
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Record in the Search Index
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| author | Arana-Daniel, Nancy López-Franco, Carlos Alanís, Alma Y. |
| author_facet | Arana-Daniel, Nancy López-Franco, Carlos Alanís, Alma Y. |
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| bvnumber | BV045217050 |
| callnumber-first | T - Technology |
| callnumber-label | TJ211 |
| callnumber-raw | TJ211.35 |
| callnumber-search | TJ211.35 |
| callnumber-sort | TJ 3211.35 |
| callnumber-subject | TJ - Mechanical Engineering and Machinery |
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| ctrlnum | (OCoLC)1055853347 (DE-599)BVBBV045217050 |
| dewey-full | 629.8/92632 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
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| dewey-search | 629.8/92632 |
| dewey-sort | 3629.8 592632 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Informatik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Electronic eBook |
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| id | DE-604.BV045217050 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:11:50Z |
| institution | BVB |
| isbn | 9781351231787 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030605730 |
| oclc_num | 1055853347 |
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| physical | 1 Online-Ressource (xvii, 209 Seiten) Illustrationen, Diagramme |
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| publishDate | 2018 |
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| publisher | CRC Press/Taylor & Francis Group |
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| spelling | Arana-Daniel, Nancy aut Neural networks for robotics an engineering perspective Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco, Boca Raton, FL CRC Press/Taylor & Francis Group 2018 © 2019 1 Online-Ressource (xvii, 209 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier "A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.". - Includes bibliographical references and index The book offers the reader the insight on artificial neural networks for giving a robot a high level of autonomy tasks such as navigation, object recognition, and clustering, with real-time implementations. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures to solve different kinds of problems encountered in autonomous navigation and object recognition problems. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object recognition, clustering of obstacles, cost mapping of environments, path planning, and vision to low level control... Robots Control systems Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 s DE-604 López-Franco, Carlos aut Alanís, Alma Y. aut Erscheint auch als Druck-Ausgabe, Hardcover 978-0-8153-7868-6 |
| spellingShingle | Arana-Daniel, Nancy López-Franco, Carlos Alanís, Alma Y. Neural networks for robotics an engineering perspective Robots Control systems Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4226127-2 |
| title | Neural networks for robotics an engineering perspective |
| title_auth | Neural networks for robotics an engineering perspective |
| title_exact_search | Neural networks for robotics an engineering perspective |
| title_full | Neural networks for robotics an engineering perspective Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco, |
| title_fullStr | Neural networks for robotics an engineering perspective Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco, |
| title_full_unstemmed | Neural networks for robotics an engineering perspective Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco, |
| title_short | Neural networks for robotics |
| title_sort | neural networks for robotics an engineering perspective |
| title_sub | an engineering perspective |
| topic | Robots Control systems Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Robots Control systems Neural networks (Computer science) Neuronales Netz |
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