Abstract | ||
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This work investigates the use of visuo-haptic augmented reality for programming object manipulation tasks by demonstration. A desktop augmented reality system is presented in which the user is not co-located with the environment and a 3DOF haptic device, providing force feedback, is adopted for user interaction. The interaction paradigm allows the user to select and manipulate virtual objects superimposed upon a visual representation of the real workspace. The approach also supports physics-based animation of rigid bodies. In the proposed method automatic object recognition and registration are performed from 3D range data acquired by a laser scanner mounted on a robot arm. We next investigate the potential of the augmented reality system for programming manipulation tasks by demonstration. Experiments show that a precedence graph, encoding the sequential structure of the task, can be successfully extracted from multiple user demonstrations. |
Year | DOI | Venue |
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2014 | 10.1109/HAVE.2014.6954324 | Haptic, Audio and Visual Environments and Games |
Keywords | Field | DocType |
augmented reality,automatic programming,computer animation,force feedback,haptic interfaces,object recognition,optical scanners,robots,3d range data,3dof haptic device,automatic object recognition,desktop augmented reality system,encoding,laser scanner,multiple user demonstrations,programming object manipulation,rigid bodies,robot arm,sequential structure,user interaction,visual representation,visuo-haptic augmented reality | Computer vision,Robotic arm,Laser scanning,Computer graphics (images),Workspace,Computer science,Augmented reality,Artificial intelligence,Animation,Precedence graph,Haptic technology,Encoding (memory) | Conference |
ISBN | Citations | PageRank |
978-1-4799-5963-1 | 3 | 0.37 |
References | Authors | |
18 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jacopo Aleotti | 1 | 259 | 29.76 |
Giorgio Micconi | 2 | 9 | 1.52 |
Stefano Caselli | 3 | 314 | 36.32 |