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» Topological Mapping with Weak Sensory Data
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AAAI
2007
13 years 7 months ago
Topological Mapping with Weak Sensory Data
In this paper, we consider the exploration of topological environments by a robot with weak sensory capabilities. We assume only that the robot can recognize when it has reached a...
Gregory Dudek, Dimitri Marinakis
IJCAI
1997
13 years 6 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling
ICRA
2007
IEEE
166views Robotics» more  ICRA 2007»
13 years 11 months ago
Navigation using an appearance based topological map
Abstract— Vision systems are used more and more in ’personal’ robots interacting with humans, since semantic information about objects and places can be derived from the rich...
Olaf Booij, Bas Terwijn, Zoran Zivkovic, Ben J. A....
IJPRAI
2008
144views more  IJPRAI 2008»
13 years 4 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
JFR
2006
88views more  JFR 2006»
13 years 4 months ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...