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AIPS
1994
14 years 11 months ago
Control Knowledge to Improve Plan Quality
Generating production-quality plans is an essential element in transforming planners from research tools into real-world applications. However most of the work to date on learning...
M. Alicia Pérez, Jaime G. Carbonell
HYBRID
2001
Springer
15 years 2 months ago
Hybrid Geodesics as Optimal Solutions to the Collision-Free Motion Planning Problem
In this paper we address the problem of designing energy minimizing collision-free maneuvers for multiple agents moving on a plane. We show that the problem is equivalent to that o...
Jianghai Hu, Maria Prandini, Karl Henrik Johansson...
CCO
2001
Springer
168views Combinatorics» more  CCO 2001»
15 years 2 months ago
Mathematical Programming Models and Formulations for Deterministic Production Planning Problems
Abstract. We study in this lecture the literature on mixed integer programming models and formulations for a specific problem class, namely deterministic production planning probl...
Yves Pochet
AUTOMATICA
2007
124views more  AUTOMATICA 2007»
14 years 10 months ago
Motion planning in uncertain environments with vision-like sensors
In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment ...
Suman Chakravorty, John L. Junkins
ECML
2006
Springer
15 years 1 months ago
Improving Control-Knowledge Acquisition for Planning by Active Learning
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
Raquel Fuentetaja, Daniel Borrajo