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IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 8 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
ENTCS
2010
82views more  ENTCS 2010»
15 years 2 months ago
A Strict-Observational Interface Theory for Analysing Service Orchestrations
Service oriented computing is an accepted architectural style for developing large, distributed software systems. A particular promise of such architectures is service orchestrati...
Philip Mayer, Andreas Schroeder, Sebastian S. Baue...
ICST
2009
IEEE
14 years 11 months ago
Timed Testing under Partial Observability
This paper studies the problem of model-based testing of real-time systems that are only partially observable. We model the System Under Test (SUT) using Timed Game Automata (TGA)...
Alexandre David, Kim Guldstrand Larsen, Shuhao Li,...
ICRA
2009
IEEE
108views Robotics» more  ICRA 2009»
15 years 8 months ago
Local decomposition and observability properties for automatic calibration in mobile robotics
Abstract— This paper considers the problem of sensor selfcalibration in mobile robotics by only using a single point feature (e.g. a source of light). In particular, the problem ...
Agostino Martinelli
HCI
2009
14 years 11 months ago
Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction
Sign language (SL) recognition modules in human-computer interaction systems need to be both fast and reliable. In cases where multiple sets of features are extracted from the SL d...
Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Ku...