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Joint torque optimization for quasi-static graspless manipulation

机译:联合扭矩优化,用于准静态无抓地力操纵

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Graspless manipulation is easily interfered by external disturbances because the manipulated object is not completely held by a robot hand and supported by an environment such as a floor. Thus it is important to ensure the manipulation is executed robustly against some disturbances. In our works, a rigid-body-based analysis of indeterminate contact forces for quasi-static graspless manipulation has been proposed, and also joint torque optimization for robotic hands. The joint torques of the robot is determined in consideration of some robustness of manipulation against disturbances, which include changes or estimation errors of friction. In the analysis of contact forces in quasi-statics, a kinematic constraint on static friction is considered to exclude infeasible sets of frictional force, with considering treatment of kinetic friction. Additionally, new objective functions for computing optimal joint torques in both static and quasi-static graspless manipulation are proposed. Some numerical samples of both applications are shown to verify our proposed methods.
机译:无柄操纵很容易受到外部干扰,因为被操纵的对象不能完全由机械手握住并不能由地板等环境支撑。因此,重要的是要确保鲁棒地执行操作以抵抗某些干扰。在我们的工作中,提出了一种基于刚体的准静态无抓握不确定接触力分析方法,还提出了针对机器人手的联合扭矩优化方法。确定机器人的关节扭矩时要考虑到一些针对干扰的鲁棒性,这些干扰包括摩擦力的变化或估计误差。在分析准静态接触力时,考虑对动摩擦的处理,对静摩擦的运动学约束被认为排除了不可行的摩擦力组。此外,提出了新的目标函数,用于在静态和准静态无抓握操纵中计算最佳关节扭矩。展示了这两种应用的一些数值样本,以验证我们提出的方法。

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