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» Using Stochastic Grammars to Learn Robotic Tasks
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ECML
2006
Springer
15 years 3 months ago
Learning Stochastic Tree Edit Distance
Trees provide a suited structural representation to deal with complex tasks such as web information extraction, RNA secondary structure prediction, or conversion of tree structured...
Marc Bernard, Amaury Habrard, Marc Sebban
CVPR
1998
IEEE
16 years 1 months ago
Action Recognition Using Probabilistic Parsing
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Aaron F. Bobick, Yuri A. Ivanov
NIPS
1992
15 years 27 days ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
HICSS
2003
IEEE
174views Biometrics» more  HICSS 2003»
15 years 5 months ago
Linking Perception and Action in a Control Architecture for Human-Robot Domains
Human-robot interaction is a growing research domain; there are many approaches to robot design, depending on the particular aspects of interaction being focused on. In this paper...
Monica N. Nicolescu, Maja J. Mataric
AAAI
2007
15 years 2 months ago
Continuous State POMDPs for Object Manipulation Tasks
My research focus is on using continuous state partially observable Markov decision processes (POMDPs) to perform object manipulation tasks using a robotic arm. During object mani...
Emma Brunskill