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CORR
2012
Springer
235views Education» more  CORR 2012»
12 years 1 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
ICRA
2006
IEEE
134views Robotics» more  ICRA 2006»
13 years 11 months ago
Hierarchical Map Building and Planning based on Graph Partitioning
— Mobile robot localization and navigation requires a map - the robot’s internal representation of the environment. A common problem is that path planning becomes very ineffic...
Zoran Zivkovic, Bram Bakker, Ben J. A. Kröse
IROS
2009
IEEE
212views Robotics» more  IROS 2009»
14 years 12 days ago
Addressing pose uncertainty in manipulation planning using Task Space Regions
—We present an efficient approach to generating paths for a robotic manipulator that are collision-free and guaranteed to meet task specifications despite pose uncertainty. We ...
Dmitry Berenson, Siddhartha S. Srinivasa, James J....
AIPS
2010
13 years 8 months ago
When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
Emma Brunskill
WCE
2007
13 years 7 months ago
Scenario Generation Employing Copulas
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
Kristina Sutiene, Henrikas Pranevicius