21 search results - page 1 / 5 » Planning under Uncertainty for Robotic Tasks with Mixed Obse... |
IJRR
2010
13 years 2 months ago
2010
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
IJRR
2011
12 years 11 months ago
2011
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
FSR
2003
Springer
13 years 9 months ago
2003
Springer
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...
AAAI
2011
12 years 4 months ago
2011
From an automated planning perspective the problem of practical mobile robot control in realistic environments poses many important and contrary challenges. On the one hand, the p...
RSS
2007
13 years 5 months ago
2007
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...