Extracting rheological properties of deformable objects with haptic vision
Identifieur interne : 000D31 ( PascalFrancis/Corpus ); précédent : 000D30; suivant : 000D32Extracting rheological properties of deformable objects with haptic vision
Auteurs : Naoki Ueda ; Shin-Iti Hirai ; Hiromi T. TanakaSource :
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
In this paper, we propose a novel approach to extracting rheological properties of deformable objects based on Haptic vision, which was proposed for vision-based automatic construction of virtual environment simulators. The method consists of two parts: 1) the "touch and see" part to cause deformation behavior by exerting known contact force on the object using a robot hand, and then observe how the deformed shape return to the original after contact force is removed, using a range sensor and a force-feedback sensor mounted on the robot hand, 2) the analysis and parameter extraction part from the acquired range images and force-feed back data. Experimental results using springs and wheat dough demonstrated the validity and effectiveness of the proposed approach to viscoelastic parameter extraction of rheological objects.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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Format Inist (serveur)
NO : | PASCAL 06-0270323 INIST |
---|---|
ET : | Extracting rheological properties of deformable objects with haptic vision |
AU : | UEDA (Naoki); HIRAI (Shin-Iti); TANAKA (Hiromi T.) |
AF : | Department of Computer Science, Ritsumeikan University, 1-1-1 Noji-higashi/Kusatsu Shiga/Japon (1 aut., 3 aut.); Department of Robotics, Ritsumeikan University, 1-1-1 Noji-higashi/Kusatsu Shiga/Japon (2 aut.) |
DT : | Congrès; Niveau analytique |
SO : | IEEE International Conference on Robotics and Automation/21/2004/New Orleans LA USA; Etats-Unis; Piscataway NJ: IEEE; Da. 2004; Pp. 3902-3907; ISBN 0-7803-8232-3 |
LA : | Anglais |
EA : | In this paper, we propose a novel approach to extracting rheological properties of deformable objects based on Haptic vision, which was proposed for vision-based automatic construction of virtual environment simulators. The method consists of two parts: 1) the "touch and see" part to cause deformation behavior by exerting known contact force on the object using a robot hand, and then observe how the deformed shape return to the original after contact force is removed, using a range sensor and a force-feedback sensor mounted on the robot hand, 2) the analysis and parameter extraction part from the acquired range images and force-feed back data. Experimental results using springs and wheat dough demonstrated the validity and effectiveness of the proposed approach to viscoelastic parameter extraction of rheological objects. |
CC : | 001D02D11; 001B40F30C |
FD : | Orienté objet; Robotique; Commande force; Rétroaction; Rhéologie; Corps déformable; Sensibilité tactile; Vision ordinateur; Réalité virtuelle; Simulateur; Main; Détecteur proximité; Mesure distance; Capteur force; Extraction paramètre; Image tridimensionnelle; Mesure force |
ED : | Object oriented; Robotics; Force control; Feedback regulation; Rheology; Deformable body; Tactile sensitivity; Computer vision; Virtual reality; Simulator; Hand; Proximity detector; Distance measurement; Force transducer; Parameter extraction; Tridimensional image; Force measurement |
SD : | Orientado objeto; Robótica; Control fuerza; Retroacción; Reología; Cuerpo deformable; Sensibilidad tactil; Visión ordenador; Realidad virtual; Simulador; Mano; Detector proximidad; Transductor fuerza; Extracción parámetro; Imagen tridimensional; Medición esfuerzo |
LO : | INIST-Y 38842.354000153471326260 |
ID : | 06-0270323 |
Links to Exploration step
Pascal:06-0270323Le document en format XML
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<front><div type="abstract" xml:lang="en">In this paper, we propose a novel approach to extracting rheological properties of deformable objects based on Haptic vision, which was proposed for vision-based automatic construction of virtual environment simulators. The method consists of two parts: 1) the "touch and see" part to cause deformation behavior by exerting known contact force on the object using a robot hand, and then observe how the deformed shape return to the original after contact force is removed, using a range sensor and a force-feedback sensor mounted on the robot hand, 2) the analysis and parameter extraction part from the acquired range images and force-feed back data. Experimental results using springs and wheat dough demonstrated the validity and effectiveness of the proposed approach to viscoelastic parameter extraction of rheological objects.</div>
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<ET>Extracting rheological properties of deformable objects with haptic vision</ET>
<AU>UEDA (Naoki); HIRAI (Shin-Iti); TANAKA (Hiromi T.)</AU>
<AF>Department of Computer Science, Ritsumeikan University, 1-1-1 Noji-higashi/Kusatsu Shiga/Japon (1 aut., 3 aut.); Department of Robotics, Ritsumeikan University, 1-1-1 Noji-higashi/Kusatsu Shiga/Japon (2 aut.)</AF>
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