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ICRA
2002
IEEE
147views Robotics» more  ICRA 2002»
15 years 6 months ago
Auxiliary Particle Filter Robot Localization from High-Dimensional Sensor Observations
We apply the auxiliary particle filter algorithm of Pitt and Shephard (1999) to the problem of robot localization. To deal with the high-dimensional sensor observations (images) ...
Nikos A. Vlassis, Bas Terwijn, Ben J. A. Krös...
CDC
2008
IEEE
15 years 3 months ago
A general symmetry-preserving observer for aided attitude heading reference systems
We generalize several recent works on nonlinear observers for aided attitude heading reference systems: we propose a symmetry-preserving nonlinear observer which merges the most co...
Philippe Martin, Erwan Salaün
IJRR
2010
162views more  IJRR 2010»
15 years 11 days ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
FUIN
2006
66views more  FUIN 2006»
15 years 1 months ago
Observation of String-Rewriting Systems
In most models of computation, a device performs some type of process, and only some final output is regarded as the result. In adding an observer to such a device, one can obtain ...
Matteo Cavaliere, Peter Leupold
JAIR
2000
152views more  JAIR 2000»
15 years 1 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht