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IDA
2003
Springer
13 years 10 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
ICRA
2005
IEEE
129views Robotics» more  ICRA 2005»
13 years 11 months ago
Fast Computational Methods for Visually Guided Robots
— This paper proposes numerical algorithms for reducing the computational cost of semi-supervised and active learning procedures for visually guided mobile robots from O(M3 ) to ...
Maryam Mahdaviani, Nando de Freitas, Bob Fraser, F...
ICRA
2006
IEEE
185views Robotics» more  ICRA 2006»
13 years 11 months ago
A Cognitive Modeling of Space using Fingerprints of Places for Mobile Robot Navigation
- In this work we address the problem of perception, spatial cognition and topological navigation for a mobile robot. The objective of this work is to enable the navigation of an a...
Adriana Tapus, Roland Siegwart
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
13 years 3 months ago
Viewpoint detection models for sequential embodied object category recognition
Abstract— This paper proposes a method for learning viewpoint detection models for object categories that facilitate sequential object category recognition and viewpoint planning...
David Meger, Ankur Gupta, James J. Little
CRV
2006
IEEE
148views Robotics» more  CRV 2006»
13 years 11 months ago
Autonomous Learning of Object Appearances using Colour Contour Frames
In this paper we make use of the idea that a robot can autonomously discover objects and learn their appearances by poking and prodding at interesting parts of a scene. In order t...
Per-Erik Forssén, Anders Moe