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» Planning and Acting in Uncertain Environments using Probabil...
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AIPS
2009
13 years 6 months ago
Navigation Planning in Probabilistic Roadmaps with Uncertainty
Probabilistic Roadmaps (PRM) are a commonly used class of algorithms for robot navigation tasks where obstacles are present in the environment. We examine the situation where the ...
Michael Kneebone, Richard Dearden
ICML
2010
IEEE
13 years 6 months ago
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
Tobias Lang, Marc Toussaint
IJCAI
2001
13 years 6 months ago
Executing Reactive, Model-based Programs through Graph-based Temporal Planning
In the future, webs of unmanned air and space vehicles will act together to robustly perform elaborate missions in uncertain environments. We coordinate these systems by introduci...
Phil Kim, Brian C. Williams, Mark Abramson
ACIVS
2006
Springer
13 years 9 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
ACIVS
2006
Springer
13 years 9 months ago
Interactive Learning of Scene Context Extractor Using Combination of Bayesian Network and Logic Network
The vision-based scene understanding technique that infers scene-interpreting contexts from real-world vision data has to not only deal with various uncertain environments but also...
Keum-Sung Hwang, Sung-Bae Cho