Title
A sensorimotor account of visual and tactile integration for object categorization and grasping.
Abstract
The fusion of tactile and visual modalities is crucial for understanding objects and learning how to manipulate them. A common modus operandi in robotics is to deal with each of these modalities separately. We propose an integrated approach that associates to local visual features of an object, tactile feedback of the effector when touching that part of the object. Thus the agent learns to predict from a visual scene the shape/curvature properties of the object. The associated curvature properties are directly linked to grasp possibilities (as in approaches like [1] and [2]) but can also provide the agent with object categorization regarding the distribution of curvature classes.
Year
DOI
Venue
2013
10.1109/ICRA.2013.6630563
ICRA
Keywords
Field
DocType
end effectors,feedback,haptic interfaces,natural scenes,effectors,integrated approach,local visual features,modus operandi,object categorization,object curvature properties,object grasping,object shape properties,sensorimotor,tactile feedback,tactile modality fusion,visual modality fusion,visual scene prediction
Modalities,Computer vision,Categorization,GRASP,Curvature,Visualization,Computer science,Robot end effector,Artificial intelligence,Robotics,Form perception
Conference
Volume
Issue
ISSN
2013
1
1050-4729
Citations 
PageRank 
References 
3
0.40
9
Authors
3
Name
Order
Citations
PageRank
Martí Sánchez-Fibla14411.13
Armin Duff2498.22
Paul F. M. J. Verschure318829.61