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AMAI
2008
Springer
13 years 8 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens
ISER
1999
Springer
114views Robotics» more  ISER 1999»
14 years 29 days ago
Continuous Probabilistic Mapping by Autonomous Robots
In this paper, we present a new approach for continuous probabilistic mapping. The objective is to build metric maps of unknown environments through cooperation between multiple au...
Jesús Salido Tercero, Christiaan J. J. Pare...
ACIVS
2006
Springer
14 years 14 days ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
ICRA
2008
IEEE
114views Robotics» more  ICRA 2008»
14 years 3 months ago
Sensorimotor coupling via dynamic bayesian networks
Abstract— In this paper we consider the problem of sensorimotor coordination in a Bayesian framework. To this end we introduce a novel kind of Dynamic Bayesian Network serving as...
Ruben Coen Cagli, Paolo Napoletano, Paolo Coraggio...
ROBOCOMM
2007
IEEE
14 years 3 months ago
Distributed control diffusion: towards a flexible programming paradigm for modular robots
—A self-reconfigurable robot is a robotic device that can change its own shape. Self-reconfigurable robots are commonly built from multiple identical modules that can manipulat...
Ulrik Pagh Schultz