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» Flying Robots: Modeling, Control and Decision Making
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FLAIRS
2001
13 years 9 months ago
Probabilistic Planning for Behavior-Based Robots
Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
Amin Atrash, Sven Koenig
AI
2006
Springer
13 years 8 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
14 years 2 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...
PPSN
2004
Springer
14 years 1 months ago
Evolving the "Feeling" of Time Through Sensory-Motor Coordination: A Robot Based Model
In this paper, we aim to design decision-making mechanisms for an autonomous robot equipped with simple sensors, which integrates over time its perceptual experience in order to in...
Elio Tuci, Vito Trianni, Marco Dorigo
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
13 years 6 months ago
Mixed reality simulation for mobile robots
Mobile robots are increasingly entering the real and complex world of humans in ways that necessitate a high degree of interaction and cooperation between human and robot. Complex ...
Ian Yen-Hung Chen, Bruce A. MacDonald, Burkhard W&...