Sciweavers

31 search results - page 1 / 7
» Fuzzy Inference Model for Learning from Experiences and Its ...
Sort
View
CIMCA
2005
IEEE
13 years 11 months ago
Fuzzy Inference Model for Learning from Experiences and Its Application to Robot Navigation
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
Manabu Gouko, Yoshihiro Sugaya, Hirotomo Aso
MICAI
2007
Springer
13 years 11 months ago
Learning Performance in Evolutionary Behavior Based Mobile Robot Navigation
Abstract. In this paper we utilize information theory to study the impact in learning performance of various motivation and environmental configurations. This study is done within...
Tomás Arredondo Vidal, Wolfgang Freund, C&e...
AAAI
1992
13 years 6 months ago
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. ...
AGENTS
2001
Springer
13 years 10 months ago
Using rat navigation models to learn orientation from visual input on a mobile robot
Rodents possess extraordinary navigation abilities that are far in excess of what current state-of-the-art robot agents are capable of. This paper describes research that is part ...
Brett Browning
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
13 years 12 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...