Simulation-based optimal motion planning for deformable object

E. Yoshida, Ko Ayusawa, I. Ramirez-Alpizar, K. Harada, C. Duriez, A. Kheddar
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引用次数: 31

Abstract

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.
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基于仿真的可变形物体运动优化规划
本文提出了一种基于有限元法精确仿真的柔性物体运动规划方法。该方法适用于各种应用中常见的由机械臂操纵的环形物体。由于机器人装配过程中会产生较大的变形,因此仿真逼真的装配规划对于保证机器人的工作效率和避免物体损坏具有重要意义。首先,利用弯曲梁有限元模型,通过对先前报道的基于优化运动规划计算的轨迹进行仿真,验证了双臂操纵环形物体的行为可以很好地预测。其次,将精确的有限元模型整合到优化中,计算出变形能量最小,同时满足避碰和平滑等准则的机械手运动轨迹。由于直接计算会导致巨大的计算成本,我们提出了一个现实的公式,将规划问题转化为多个沿轨迹的有限元模型的静力平衡问题。仿真结果表明,该方法适用于此类大变形装配任务。
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