Robot Learning by Imitation: Haptic and Visual Sensing
Project Type: PhD Project
Research Field: Bayesian Multimodal Perception
Sponsors: Fundação para a Ciência e a Tecnologia PhD Scholarship – SRFH/BD/30655/2006
Time span: 11/2006-12/2009

This project intends to research Bayesian models to deal with fusion, multimodality (haptic and visual sensing) and imitation learning and also to provide an application that allows the robot to grasp a wide range of objects through human imitation.

Related Projects

HANDLE - Developmental Pathway towards Autonomy and Dexterity in Robot In-Hand Manipulation
BACS - Bayesian Approach to Cognitive Systems

Related People

Jorge Dias
Jorge Lobo
Diego Faria