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» Using Stochastic Grammars to Learn Robotic Tasks
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ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
13 years 7 months ago
Coping with imbalanced training data for improved terrain prediction in autonomous outdoor robot navigation
Abstract— Autonomous robot navigation in unstructured outdoor environments is a challenging and largely unsolved area of active research. The navigation task requires identifying...
Michael J. Procopio, Jane Mulligan, Gregory Z. Gru...
AAAI
2007
13 years 11 months ago
Detecting Execution Failures Using Learned Action Models
reason with abstracted models of the behaviours they use to construct plans. When plans are turned into the instructions that drive an executive, the real behaviours interacting w...
Maria Fox, Jonathan Gough, Derek Long
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 11 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
RAS
2010
216views more  RAS 2010»
13 years 7 months ago
A nonparametric learning approach to range sensing from omnidirectional vision
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
Christian Plagemann, Cyrill Stachniss, Jürgen...
ICPR
2000
IEEE
14 years 1 months ago
Gabor Filters for Object Localization and Robot Grasping
We present a system for learning the 3 DOF finepositioning task of a robot manipulator (Puma 260) using a gripper mounted camera. Small lateral gripper-target misalignments are c...
Jörg A. Walter, Bert Arnrich