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» Reformulating Constraint Models for Classical Planning
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ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
13 years 11 months ago
A Bayesian framework for optimal motion planning with uncertainty
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
AMAI
1999
Springer
13 years 4 months ago
Logic Programs with Stable Model Semantics as a Constraint Programming Paradigm
Logic programming with the stable model semantics is put forward as a novel constraint programming paradigm. This paradigm is interesting because it bring advantages of logic prog...
Ilkka Niemelä
TROB
2002
212views more  TROB 2002»
13 years 4 months ago
Path planning for robust image-based control
Abstract-- Vision feedback control loop techniques are efficient for a large class of applications but they come up against difficulties when the initial and desired robot position...
Youcef Mezouar, François Chaumette
ICASSP
2011
IEEE
12 years 8 months ago
Image editing based on Sparse Matrix-Vector multiplication
This paper presents a unified model for image editing in terms of Sparse Matrix-Vector (SpMV) multiplication. In our framework, we cast image editing as a linear energy minimizat...
Ying Wang, Hongping Yan, Chunhong Pan, Shiming Xia...
BMCBI
2006
137views more  BMCBI 2006»
13 years 4 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...