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Simulation-based Optimal Motion Planning ...
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Document type :
Communication dans un congrès avec actes
DOI :
10.1109/ARSO.2015.7428219
Title :
Simulation-based Optimal Motion Planning for Deformable Object
Author(s) :
Yoshida, Eiichi [Auteur]
Joint Robotics Laboratory [CNRS-AIST JRL]
Ayusawa, Ko [Auteur]
Joint Robotics Laboratory [CNRS-AIST JRL]
Ramirez-Alpizar, Ixchel [Auteur]
National Institute of Advanced Industrial Science and Technology [AIST]
Harada, Kensuke [Auteur]
National Institute of Advanced Industrial Science and Technology [AIST]
Duriez, Christian [Auteur] refId
Deformable Robots Simulation Team [DEFROST]
Kheddar, Abderrahmane [Auteur]
Interactive Digital Humans [IDH]
Joint Robotics Laboratory [CNRS-AIST JRL]
Conference title :
ARSO: Advanced Robotics and its Social Impacts
City :
Lyon
Country :
France
Start date of the conference :
2015-06-30
Book title :
IEEE International Workshop on Advanced Robotics and its Social Impacts
Publication date :
2015
HAL domain(s) :
Informatique [cs]/Robotique [cs.RO]
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
This paper presents a method for planning motions of a flexible objects based on precise simulation using Finite Element Method (FEM). The proposed method is applied to ring-shape objects manipulated by robot arms, which ...
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This paper presents a method for planning motions of a flexible objects based on precise simulation using Finite Element Method (FEM). The proposed method is applied to ring-shape objects manipulated by robot arms, which is often seen in various applications. Since large deformation is implied, assembly planning with realistic simulation is important to ensure task efficiency for the robot and also to avoid damage of the object. We first verify that the behavior of a ring-shape object by dual-arm manipulation is well predicted using FEM model of bent beam through a simulation along the trajectory computed by optimization-based motion planning previously reported. Next, a precise FEM model is integrated into optimization to compute a trajectory of robot hands minimizing the deformation energy as well as satisfying such criteria as collision avoidance and smoothness. Since the direct computation leads huge computational cost, we present a realistic formula which transforms the planning problem into the static equilibrium problem of several FEM models located along the trajectory. Simulation results show that the proposed method is promising for such assembly tasks requiring large deformation.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
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