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 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.

• Type: Conference
• Year: 2008
• Where: ICRA
• Authors: Ruben Coen Cagli, Paolo Napoletano, Paolo Coraggio, Giuseppe Boccignone, Agostino De Santis
• Keywords: 7-DOF Anthropomorphic Manipulator, Dynamic Bayesian Network, ICRA 2008, Robotics, Task-constrained Motor Behaviors