23 search results - page 3 / 5 » Motion planning under uncertainty for robotic tasks with lon... |
RSS
2007
13 years 6 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...
Publication
Partially observable Markov decision processes (POMDPs) have been
successfully applied to various robot motion planning tasks under uncertainty.
However, most existing POMDP algo...
IROS
2007
IEEE
13 years 11 months ago
2007
IEEE
— This paper addresses the problem of planning for goal directed navigation in the environment that contains a number of possible adversary locations. It first shows that common...
AAAI
2011
12 years 5 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...
AR
2005
13 years 4 months ago
2005
Whether they are asked to polish or assemble parts, clean the house or open doors, the future generation of robots will have to cope with contact tasks under uncertainty in a stabl...