Active inspection using visibility, sensor and task knowledge:
Abstract: "We support some results of a project aimed at computing visibility scripts for active inspection applications, in which a robot-mounted sensor observes a known object from different viewpoints. Visibility scripts describe the optimal sensor position for a given inspection task. A fea...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Edinburgh
1993
|
| Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
616 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: "We support some results of a project aimed at computing visibility scripts for active inspection applications, in which a robot-mounted sensor observes a known object from different viewpoints. Visibility scripts describe the optimal sensor position for a given inspection task. A feature visibility representation (the FIR) is introduced, which can accommodate workspace, visibility and sensor constraints. The FIR specifies also task-dependent knowledge about the generalized sensor adopted (the imaging device and the feature detection or measurement system), most importantly reliability expectations based on sensor performance tests. The performance of a prototype in two simulated inspection tasks is demonstrated and discussed." |
| Beschreibung: | [25] S. |
Internformat
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| 100 | 1 | |a Trucco, Emanuele |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Active inspection using visibility, sensor and task knowledge |c E. Trucco ; M. Umasuthan ; A. M. Wallace |
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| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 616 | |
| 520 | 3 | |a Abstract: "We support some results of a project aimed at computing visibility scripts for active inspection applications, in which a robot-mounted sensor observes a known object from different viewpoints. Visibility scripts describe the optimal sensor position for a given inspection task. A feature visibility representation (the FIR) is introduced, which can accommodate workspace, visibility and sensor constraints. The FIR specifies also task-dependent knowledge about the generalized sensor adopted (the imaging device and the feature detection or measurement system), most importantly reliability expectations based on sensor performance tests. The performance of a prototype in two simulated inspection tasks is demonstrated and discussed." | |
| 650 | 4 | |a Robotics | |
| 700 | 1 | |a Umasuthan, M. |e Verfasser |4 aut | |
| 700 | 1 | |a Wallace, A. M. |e Verfasser |4 aut | |
| 810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 616 |w (DE-604)BV010450646 |9 616 | |
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Datensatz im Suchindex
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| author | Trucco, Emanuele Umasuthan, M. Wallace, A. M. |
| author_facet | Trucco, Emanuele Umasuthan, M. Wallace, A. M. |
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| author_sort | Trucco, Emanuele |
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| id | DE-604.BV010461063 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:52:53Z |
| institution | BVB |
| language | English |
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| publishDate | 1993 |
| publishDateSearch | 1993 |
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| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Trucco, Emanuele Verfasser aut Active inspection using visibility, sensor and task knowledge E. Trucco ; M. Umasuthan ; A. M. Wallace Edinburgh 1993 [25] S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 616 Abstract: "We support some results of a project aimed at computing visibility scripts for active inspection applications, in which a robot-mounted sensor observes a known object from different viewpoints. Visibility scripts describe the optimal sensor position for a given inspection task. A feature visibility representation (the FIR) is introduced, which can accommodate workspace, visibility and sensor constraints. The FIR specifies also task-dependent knowledge about the generalized sensor adopted (the imaging device and the feature detection or measurement system), most importantly reliability expectations based on sensor performance tests. The performance of a prototype in two simulated inspection tasks is demonstrated and discussed." Robotics Umasuthan, M. Verfasser aut Wallace, A. M. Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 616 (DE-604)BV010450646 616 |
| spellingShingle | Trucco, Emanuele Umasuthan, M. Wallace, A. M. Active inspection using visibility, sensor and task knowledge Robotics |
| title | Active inspection using visibility, sensor and task knowledge |
| title_auth | Active inspection using visibility, sensor and task knowledge |
| title_exact_search | Active inspection using visibility, sensor and task knowledge |
| title_full | Active inspection using visibility, sensor and task knowledge E. Trucco ; M. Umasuthan ; A. M. Wallace |
| title_fullStr | Active inspection using visibility, sensor and task knowledge E. Trucco ; M. Umasuthan ; A. M. Wallace |
| title_full_unstemmed | Active inspection using visibility, sensor and task knowledge E. Trucco ; M. Umasuthan ; A. M. Wallace |
| title_short | Active inspection using visibility, sensor and task knowledge |
| title_sort | active inspection using visibility sensor and task knowledge |
| topic | Robotics |
| topic_facet | Robotics |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT truccoemanuele activeinspectionusingvisibilitysensorandtaskknowledge AT umasuthanm activeinspectionusingvisibilitysensorandtaskknowledge AT wallaceam activeinspectionusingvisibilitysensorandtaskknowledge |