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 the core tool to integrate active vision and task-constrained motor behaviors. The proposed system is put into work by addressing the challenging task of realistic drawing performed by a robotic agent, namely a 7-DOF anthropomorphic manipulator. Simulation results are compared to those obtained by eye-tracked human subjects involved in drawing experiments.
|Titolo:||Sensorimotor coupling via Dynamic Bayesian Networks|
|Autori interni:||BOCCIGNONE, GIUSEPPE (Penultimo)|
|Parole Chiave:||Robotics ; Bayesian networks ; Sensorimotor systems|
|Data di pubblicazione:||19-mag-2008|
|Enti collegati al convegno:||IEEE, Microsoft Robotics|
|Digital Object Identifier (DOI):||10.1109/ROBOT.2008.4543427|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|
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