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Abstract: In this paper, the problem of anchoring objects' names from a human lexicon to a robot perceptions is studied. An open problem is to define a good perceptual system supporting ecient anchoring of these symbols. To study this problem, we consider a detection task used and we study and show results from an approach based on an iterative reformulation of raw percepts into a structural description of perceptions. The goal of this perceptual learning is to provide the robot with the ability to... (Update)
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0.3: Wrapper for Object Detection in an Autonomous Mobile Robot - Bredeche, Chevaleyre, Hugues (2002) (Correct)
0.3: Perceptual Learning and Abstraction in Machine Learning - Nicolas Bredeche Shi (2003) (Correct)
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BibTeX entry: (Update)
@misc{ bredeche-physically,
author = "Nicolas Bredeche and Yann Chevaleyre",
title = "Physically Grounding the Lexical Semantics of Words in a Robot Visual Perception",
url = "citeseer.ist.psu.edu/485900.html" }
Citations (may not include all citations):79 Solving the Multiple-Instance Problem with Axis-Parallel Rec.. - Dietterich, Lathrop et al. - 1997
22 Anchoring symbols to sensor data: preliminary report - Coradeschi, Saotti DBLP
9 Abstraction: a general framework for learning (context) - Giordana, Saitta
9 The Capacity and the Sensitivity of Color Histogram Indexing (context) - Stricker, Swain - 1994 ACM
5 A Framework for Learning Rules from Multiple Instance Data - Chevaleyre, Zucker - 2001 ACM DBLP
5 Perceptual Learning (context) - Goldstone - 1998
1 Fast e ective rule induction (context) - Cohen - 1995
1 The MICRobES Project, an Experimental Approach towards Open .. - Picault, Drogoul - 2000
1 Changes of Representation for Ecient Learning in Structural .. (context) - Zucker - 1996
Documents on the same site (http://www-poleia.lip6.fr/~bredeche/):
Labeling for a Learning Mobile Robot - Bredeche, Zucker (2001) (Correct)
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