Sciweavers

67 search results - page 6 / 14
» Robot introspection through learned hidden Markov models
Sort
View
ICML
2004
IEEE
14 years 8 months ago
Learning low dimensional predictive representations
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
ATAL
2006
Springer
13 years 11 months ago
Learning executable agent behaviors from observation
We present a method for learning a human understandable, executable model of an agent's behavior using observations of its interaction with the environment. By executable we ...
Andrew Guillory, Hai Nguyen, Tucker R. Balch, Char...
ICML
1998
IEEE
14 years 8 months ago
Heading in the Right Direction
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
Hagit Shatkay, Leslie Pack Kaelbling
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
13 years 5 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert
IJHR
2008
119views more  IJHR 2008»
13 years 7 months ago
Imitation Learning of Dual-Arm Manipulation Tasks in Humanoid Robots
In this paper, we deal with imitation learning of arm movements in humanoid robots. Hidden Markov Models (HMM) are used to generalize movements demonstrated to a robot multiple tim...
Tamim Asfour, Pedram Azad, Florian Gyarfas, Rü...