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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Castelnovi, M. Sgorbissa, A. Zaccaria, R. |
| Copyright Year | 2004 |
| Description | Author affiliation: Laboratorium DIST, Genova Univ., Italy (Castelnovi, M.; Sgorbissa, A.; Zaccaria, R.) |
| Abstract | Self-localization plays a fundamental role in all the activities of a service mobile robot, from simple point-to-point navigation to complex fetch-and-carry tasks. In particular, in presence of an environment which changes dynamically, a trade-off must be found between apparently opposite characteristics: uniqueness (i.e. the ability to univocally recognize every location in the environment) and ductility (i.e. the ability to recognize a location of the environment in spite of small changes). The paper shows a vision-based approach which exploits color analysis and clustering to match perceptions with a pre-stored model of the environment, and relies on a Markovian model to update a probability density over the possible robot's configurations. |
| Sponsorship | IEEE Control Syst. Soc |
| Starting Page | 437 |
| Ending Page | 442 |
| File Size | 457413 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780386353 |
| ISSN | 21589860 |
| DOI | 10.1109/ISIC.2004.1387723 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-09-04 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robot sensing systems Navigation Mobile robots Character recognition Robot vision systems Sensor phenomena and characterization Sensor systems Simultaneous localization and mapping Orbital robotics Laboratories |
| Content Type | Text |
| Resource Type | Article |
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