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Control of grasping force by estimating stick/slip distribution at the contact interface of an elastic finger having curved surface

机译:通过在具有弯曲表面的弹性手指的接触界面处估计杆/滑动分布来控制抓握力

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摘要

Fingers of human allow an object to be lifted using adequate grasping force and without slippage, even when the weight and friction coefficient of the object are unknown. Grasping force is controlled by detecting complex response of the skin using tactile receptors incorporated in the finger tissue. In this study, we propose a method for controlling the grasping force when objects are grasped by artificial elastic fingers in which many sensors are incorporated. First the relationship between the stick area and internal strain distribution of the finger is calculated in detail by using FE (finite element) analysis. The quantitative relationship between the stick area in the contact surface and the velocity of internal strain distribution is obtained. From these, we propose a method for controlling the grasping force by decreasing the increasing ratio of the tangential force when the stick area is decreasing. Finally, the grasping force is controlled by using the actual elastic finger made of silicorn rubber in which strain gages are incorporated. It is confirmed that objects can be grasped using adequate grasping force without complete slippage even when the weight and the friction coefficient of the objects are unknown.
机译:人类的手指允许使用足够的抓力和没有滑动的物体来提升物体,即使当物体的重量和摩擦系数未知。通过使用掺入手指组织中的触觉受体检测皮肤的复杂响应来控制抓取力。在这项研究中,当物体被人工弹性指状物抓住时,我们提出了一种用于控制抓握力的方法,其中包括许多传感器的人工弹性指状物。首先,通过使用Fe(有限元)分析,详细计算手指的棒面积和内部应变分布之间的关系。获得接触表面中的杆面积与内部应变分布的速度之间的定量关系。由此,我们提出了一种通过减少棒面积减小时通过降低切向力的增加比率来控制抓握力的方法。最后,通过使用由硅橡胶制成的实际弹性手指来控制抓握力,其中掺入应变计。确认,即使当物体的重量和摩擦系数未知,也可以使用足够的抓握力来使用足够的抓握力来掌握物体。

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