Location recognition in a mobile robot using self-organising feature maps:
Abstract: "Self-organising structures are a dominant feature of the experimental mobile robots built in our 'Really Useful Robots' project. This paper continues where [Nehmzow & Smithers 90] finished. It explains some initial experiments using self-organising feature maps, and how...
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| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Edinburgh
1991
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| Series: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
520 |
| Subjects: | |
| Summary: | Abstract: "Self-organising structures are a dominant feature of the experimental mobile robots built in our 'Really Useful Robots' project. This paper continues where [Nehmzow & Smithers 90] finished. It explains some initial experiments using self-organising feature maps, and how those maps can be used by a mobile robot to recognise locations in its environment. This location recognition capability is achieved without using sensory information. Instead information derived from the motor actions of the robot is used, and shown to be sufficient." |
| Physical Description: | 14 S. |
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| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 520 | |
| 520 | 3 | |a Abstract: "Self-organising structures are a dominant feature of the experimental mobile robots built in our 'Really Useful Robots' project. This paper continues where [Nehmzow & Smithers 90] finished. It explains some initial experiments using self-organising feature maps, and how those maps can be used by a mobile robot to recognise locations in its environment. This location recognition capability is achieved without using sensory information. Instead information derived from the motor actions of the robot is used, and shown to be sufficient." | |
| 650 | 7 | |a Pattern recognition, image processing and remote sensing |2 sigle | |
| 650 | 7 | |a Robotics and its application |2 sigle | |
| 650 | 4 | |a Robots |x Control systems | |
| 650 | 4 | |a Robots |x Motion | |
| 700 | 1 | |a Smithers, Tim |e Verfasser |4 aut | |
| 700 | 1 | |a Hallam, John |e Verfasser |4 aut | |
| 810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 520 |w (DE-604)BV010450646 |9 520 | |
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Record in the Search Index
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| id | DE-604.BV010453252 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:52:47Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006966024 |
| oclc_num | 25783796 |
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| owner_facet | DE-91G DE-BY-TUM |
| physical | 14 S. |
| publishDate | 1991 |
| publishDateSearch | 1991 |
| publishDateSort | 1991 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Nehmzow, Ulrich 1961- Verfasser (DE-588)121269191 aut Location recognition in a mobile robot using self-organising feature maps U. Nehmzow ; T. Smithers ; J. Hallam Edinburgh 1991 14 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 520 Abstract: "Self-organising structures are a dominant feature of the experimental mobile robots built in our 'Really Useful Robots' project. This paper continues where [Nehmzow & Smithers 90] finished. It explains some initial experiments using self-organising feature maps, and how those maps can be used by a mobile robot to recognise locations in its environment. This location recognition capability is achieved without using sensory information. Instead information derived from the motor actions of the robot is used, and shown to be sufficient." Pattern recognition, image processing and remote sensing sigle Robotics and its application sigle Robots Control systems Robots Motion Smithers, Tim Verfasser aut Hallam, John Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 520 (DE-604)BV010450646 520 |
| spellingShingle | Nehmzow, Ulrich 1961- Smithers, Tim Hallam, John Location recognition in a mobile robot using self-organising feature maps Pattern recognition, image processing and remote sensing sigle Robotics and its application sigle Robots Control systems Robots Motion |
| title | Location recognition in a mobile robot using self-organising feature maps |
| title_auth | Location recognition in a mobile robot using self-organising feature maps |
| title_exact_search | Location recognition in a mobile robot using self-organising feature maps |
| title_full | Location recognition in a mobile robot using self-organising feature maps U. Nehmzow ; T. Smithers ; J. Hallam |
| title_fullStr | Location recognition in a mobile robot using self-organising feature maps U. Nehmzow ; T. Smithers ; J. Hallam |
| title_full_unstemmed | Location recognition in a mobile robot using self-organising feature maps U. Nehmzow ; T. Smithers ; J. Hallam |
| title_short | Location recognition in a mobile robot using self-organising feature maps |
| title_sort | location recognition in a mobile robot using self organising feature maps |
| topic | Pattern recognition, image processing and remote sensing sigle Robotics and its application sigle Robots Control systems Robots Motion |
| topic_facet | Pattern recognition, image processing and remote sensing Robotics and its application Robots Control systems Robots Motion |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT nehmzowulrich locationrecognitioninamobilerobotusingselforganisingfeaturemaps AT smitherstim locationrecognitioninamobilerobotusingselforganisingfeaturemaps AT hallamjohn locationrecognitioninamobilerobotusingselforganisingfeaturemaps |