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ICRA
2006
IEEE
177views Robotics» more  ICRA 2006»
15 years 9 months ago
Autonomous Shape Model Learning for Object Localization and Recognition
— Mobile robots do not adequately represent the objects in their environment; this weakness hinders a robot’s ability to utilize past experience. In this paper, we describe a s...
Joseph Modayil, Benjamin Kuipers
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
15 years 9 months ago
A spatio-temporal probabilistic model for multi-sensor object recognition
— This paper presents a general framework for multi-sensor object recognition through a discriminative probabilistic approach modelling spatial and temporal correlations. The alg...
Bertrand Douillard, Dieter Fox, Fabio T. Ramos
CVPR
1996
IEEE
15 years 7 months ago
Connectionist networks for feature indexing and object recognition
Feature indexing techniques are promising for object recognition since they can quickly reduce the set of possible matches for a set of image features. This work exploits another ...
Clark F. Olson
AAAI
1996
15 years 4 months ago
A Hybrid Learning Approach for Better Recognition of Visual Objects
Real world images often contain similar objects but with different rotations, noise, or other visual alterations. Vision systems should be able to recognize objects regardless of ...
Ibrahim F. Imam, Srinivas Gutta
122
Voted
ICRA
2010
IEEE
118views Robotics» more  ICRA 2010»
15 years 1 months ago
Tactile object class and internal state recognition for mobile manipulation
— Tactile information is valuable in determining properties of objects that are inaccessible from visual perception. In this work, we present a tactile perception strategy that a...
Sachin Chitta, Matthew Piccoli, Jürgen Sturm