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2007
136views Robotics» more  RSS 2007»
13 years 7 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...
CCE
2004
13 years 6 months ago
Optimization under uncertainty: state-of-the-art and opportunities
A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncer...
Nikolaos V. Sahinidis
CCE
2007
13 years 6 months ago
Water networks security: A two-stage mixed-integer stochastic program for sensor placement under uncertainty
This work describes a stochastic approach for the optimal placement of sensors in municipal water networks to detect maliciously injected contaminants. The model minimizes the exp...
Vicente Rico-Ramírez, Sergio Frausto-Hern&a...
CONSTRAINTS
2006
70views more  CONSTRAINTS 2006»
13 years 6 months ago
Stochastic Constraint Programming: A Scenario-Based Approach
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
Armagan Tarim, Suresh Manandhar, Toby Walsh
IJCAI
2003
13 years 7 months ago
Scenario-based Stochastic Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we extend the stochastic constraint programming framework proposed in [Walsh, 2002] along a number ...
Suresh Manandhar, Armagan Tarim, Toby Walsh