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Recolector de Ciencia Abierta, RECOLECTA
Conference object . 2001 . Peer-reviewed
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Recolector de Ciencia Abierta, RECOLECTA
Conference object . 2010 . Peer-reviewed
Data sources: Recolector de Ciencia Abierta, RECOLECTA
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DIGITAL.CSIC
Conference object . 2010 . Peer-reviewed
Data sources: DIGITAL.CSIC
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MARCO: a mobile robot with learning capabilities to perceive and interact with its environment

descriptionPublicationkeyboard_double_arrow_right Conference object 01 Jan 2001 Spain Publisher:Universidad Jaume I
Authors: Sanfeliu, Alberto; Andrade-Cetto, Juan; Alquézar Mancho, Renato; Aranda López, Juan; Climent Vilaro, Juan; Grau Saldes, Antoni; Serratosa, Francesc; +1 Authors

handle: 10261/30215

MARCO: a mobile robot with learning capabilities to perceive and interact with its environment

Abstract

Marco is the name of a research mobile robot that is being developed at the Instituto de Robótica e Infomática Industrial of UPC-CSIC. It is designed with learning abilities to acquire information about indoor environments using various perception sensors. Marco uses video cameras and ultrasonic sensors to perceive the world, and pattern recognition and computer vision techniques to extract knowledge about it. In this paper we explain the objectives of this project and the techniques developed so far.

This work was supported by the project 'Active vision systems based in automatic learning for industrial applications' ().

Spanish Symposium on Pattern Recognition and Image Analysis (SNRFAI), 2001, Benicassim (España)

Peer Reviewed

Country
Spain
Related Organizations
Keywords

Pattern recognition, Mobile robots, Automation: Robots, Computer vision, Robotics, Automatic learning techniques, Robots, Robots [Automation]

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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