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EMO
2009
Springer
174views Optimization» more  EMO 2009»
14 years 1 days ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck
IJRR
2008
101views more  IJRR 2008»
13 years 5 months ago
Motion Planning Under Uncertainty for Image-guided Medical Needle Steering
We develop a new motion planning algorithm for a variant of a Dubins car with binary left/right steering and apply it to steerable needles, a new class of flexible beveltip medica...
Ron Alterovitz, Michael S. Branicky, Kenneth Y. Go...
AAAI
2006
13 years 6 months ago
A New Approach to Distributed Task Assignment using Lagrangian Decomposition and Distributed Constraint Satisfaction
We present a new formulation of distributed task assignment, called Generalized Mutual Assignment Problem (GMAP), which is derived from an NP-hard combinatorial optimization probl...
Katsutoshi Hirayama
ANOR
2010
112views more  ANOR 2010»
13 years 3 months ago
Online stochastic optimization under time constraints
This paper considers online stochastic optimization problems where uncertainties are characterized by a distribution that can be sampled and where time constraints severely limit t...
Pascal Van Hentenryck, Russell Bent, Eli Upfal
IROS
2007
IEEE
136views Robotics» more  IROS 2007»
13 years 11 months ago
A bounded uncertainty approach to cooperative localization using relative bearing constraints
— This paper describes an approach to cooperative localization which finds its roots in robust estimation, employing an unknown-but-bounded error model for sensor measurements. ...
Camillo J. Taylor, John R. Spletzer