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» A Logic for Planning under Partial Observability
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FSR
2003
Springer
94views Robotics» more  FSR 2003»
14 years 28 days ago
Planning under Uncertainty for Reliable Health Care Robotics
We describe a mobile robot system, designed to assist residents of an retirement facility. This system is being developed to respond to an aging population and a predicted shortage...
Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun
IJCAI
2003
13 years 9 months ago
A Planning Algorithm for Predictive State Representations
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
Masoumeh T. Izadi, Doina Precup
IJCAI
2001
13 years 9 months ago
An Improved Grid-Based Approximation Algorithm for POMDPs
Although a partially observable Markov decision process (POMDP) provides an appealing model for problems of planning under uncertainty, exact algorithms for POMDPs are intractable...
Rong Zhou, Eric A. Hansen
IJRR
2011
218views more  IJRR 2011»
13 years 2 months ago
Motion planning under uncertainty for robotic tasks with long time horizons
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...
ICRA
2007
IEEE
134views Robotics» more  ICRA 2007»
14 years 2 months ago
Grasping POMDPs
Abstract— We provide a method for planning under uncertainty for robotic manipulation by partitioning the configuration space into a set of regions that are closed under complia...
Kaijen Hsiao, Leslie Pack Kaelbling, Tomás ...