Robot shaping: principles, methods and architectures
Abstract: "In this paper, we contrast two seemingly opposing views on robot design: traditional engineering methods, and automated methods using learning and evolutionary techniques. We argue that while each has its advantages, it is likely that significant progress in robotics could be made us...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Edinburgh
1996
|
| Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
795 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: "In this paper, we contrast two seemingly opposing views on robot design: traditional engineering methods, and automated methods using learning and evolutionary techniques. We argue that while each has its advantages, it is likely that significant progress in robotics could be made using a suitable hybrid of the two philosophies. Of course many successful systems already do this, but they do so in rather ad hoc ways. In contrast, we are attempting to propose a principled way in which engineering design can be combined with evolution, which we call shaping. We present some general principles that we believe should underlie shaping, and follow this up with a set of methods that might be used to put those principles into practice. We then discuss and justify a novel neuro- evolutionary architecture that we believe to be particularly suitable for use in a shaping context. Finally we set out our goals for the future of this research." |
| Beschreibung: | 10 S. |
Internformat
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| 520 | 3 | |a Abstract: "In this paper, we contrast two seemingly opposing views on robot design: traditional engineering methods, and automated methods using learning and evolutionary techniques. We argue that while each has its advantages, it is likely that significant progress in robotics could be made using a suitable hybrid of the two philosophies. Of course many successful systems already do this, but they do so in rather ad hoc ways. In contrast, we are attempting to propose a principled way in which engineering design can be combined with evolution, which we call shaping. We present some general principles that we believe should underlie shaping, and follow this up with a set of methods that might be used to put those principles into practice. We then discuss and justify a novel neuro- evolutionary architecture that we believe to be particularly suitable for use in a shaping context. Finally we set out our goals for the future of this research." | |
| 650 | 7 | |a Bionics and artificial intelligence |2 sigle | |
| 650 | 7 | |a Robotics and its application |2 sigle | |
| 650 | 4 | |a Neural networks (Computer science) | |
| 650 | 4 | |a Robotics | |
| 650 | 4 | |a Robotics |x Methodology | |
| 700 | 1 | |a Hayes, Gillian |e Verfasser |4 aut | |
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Datensatz im Suchindex
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| author | Perkins, Simon Hayes, Gillian |
| author_facet | Perkins, Simon Hayes, Gillian |
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| id | DE-604.BV011049661 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T18:03:10Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007400105 |
| oclc_num | 35736616 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | 10 S. |
| publishDate | 1996 |
| publishDateSearch | 1996 |
| publishDateSort | 1996 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Perkins, Simon Verfasser aut Robot shaping principles, methods and architectures Perkins, S. ; Hayes, G. Edinburgh 1996 10 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 795 Abstract: "In this paper, we contrast two seemingly opposing views on robot design: traditional engineering methods, and automated methods using learning and evolutionary techniques. We argue that while each has its advantages, it is likely that significant progress in robotics could be made using a suitable hybrid of the two philosophies. Of course many successful systems already do this, but they do so in rather ad hoc ways. In contrast, we are attempting to propose a principled way in which engineering design can be combined with evolution, which we call shaping. We present some general principles that we believe should underlie shaping, and follow this up with a set of methods that might be used to put those principles into practice. We then discuss and justify a novel neuro- evolutionary architecture that we believe to be particularly suitable for use in a shaping context. Finally we set out our goals for the future of this research." Bionics and artificial intelligence sigle Robotics and its application sigle Neural networks (Computer science) Robotics Robotics Methodology Hayes, Gillian Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 795 (DE-604)BV010450646 795 |
| spellingShingle | Perkins, Simon Hayes, Gillian Robot shaping principles, methods and architectures Bionics and artificial intelligence sigle Robotics and its application sigle Neural networks (Computer science) Robotics Robotics Methodology |
| title | Robot shaping principles, methods and architectures |
| title_auth | Robot shaping principles, methods and architectures |
| title_exact_search | Robot shaping principles, methods and architectures |
| title_full | Robot shaping principles, methods and architectures Perkins, S. ; Hayes, G. |
| title_fullStr | Robot shaping principles, methods and architectures Perkins, S. ; Hayes, G. |
| title_full_unstemmed | Robot shaping principles, methods and architectures Perkins, S. ; Hayes, G. |
| title_short | Robot shaping |
| title_sort | robot shaping principles methods and architectures |
| title_sub | principles, methods and architectures |
| topic | Bionics and artificial intelligence sigle Robotics and its application sigle Neural networks (Computer science) Robotics Robotics Methodology |
| topic_facet | Bionics and artificial intelligence Robotics and its application Neural networks (Computer science) Robotics Robotics Methodology |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT perkinssimon robotshapingprinciplesmethodsandarchitectures AT hayesgillian robotshapingprinciplesmethodsandarchitectures |