| dc.creator | Goncalves L.M.G. | |
| dc.date | 2001 | |
| dc.date | 2015-06-26T14:44:07Z | |
| dc.date | 2015-11-26T14:17:39Z | |
| dc.date | 2015-06-26T14:44:07Z | |
| dc.date | 2015-11-26T14:17:39Z | |
| dc.date.accessioned | 2018-03-28T21:18:46Z | |
| dc.date.available | 2018-03-28T21:18:46Z | |
| dc.identifier | | |
| dc.identifier | Ieee International Conference On Multisensor Fusion And Integration For Intelligent Systems. , v. , n. , p. 311 - 316, 2001. | |
| dc.identifier | | |
| dc.identifier | | |
| dc.identifier | http://www.scopus.com/inward/record.url?eid=2-s2.0-0035555921&partnerID=40&md5=0e8eb48c2450ba5b333e49236e4aeb64 | |
| dc.identifier | http://www.repositorio.unicamp.br/handle/REPOSIP/95282 | |
| dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/95282 | |
| dc.identifier | 2-s2.0-0035555921 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1243395 | |
| dc.description | We present current efforts towards an approach for the integration of features extracted from multi-modal sensors, with which to guide the attentional behavior of robotic agents. The model can be applied in many situations and different tasks including top-down or bottom-up aspects of attention control. Basically, a pre-attention mechanism enhances attentional features that are relevant to the current task according to a weight function that can be learned. Then, an attention shift mechanism can select one between the various activated stimuli, in order for a robot to foveate on it. Also, in this approach, we consider the robot moving resources or so to improve the (visual) sensory information. | |
| dc.description | | |
| dc.description | | |
| dc.description | 311 | |
| dc.description | 316 | |
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| dc.language | en | |
| dc.publisher | | |
| dc.relation | IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems | |
| dc.rights | fechado | |
| dc.source | Scopus | |
| dc.title | Towards A Learning Model For Feature Integration In Attention Control | |
| dc.type | Actas de congresos | |
