基于姿态插值的多用途手操作被动柔性位力组合控制

Keung Or, Mami Tomura, A. Schmitz, Satoshi Funabashi, S. Sugano
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引用次数: 6

摘要

在抓取物体后,通常需要手动操作来完成实际任务。在多指的手上操纵各种大小和形状的物体而不掉落物体是具有挑战性的。本文提出了一种力控与被动适应相结合的策略,通过简单的插补控制,通过柔软的指尖来实现不同姿势之间和不同对象之间的手部操作。虽然被动顺应可以通过多种方式实现,但本文使用柔软的皮肤,因为它不需要复杂的机构,并且易于集成到机器人手(Allegro hand)中。柔软度已被证明可以显著地缓解物体的抓取,并且本文也显示了柔软度对手持操作的重要性。特别地,不同姿势之间的简单插补策略在与柔软的指尖结合时是成功的,有或没有力控制,但在与硬的指尖结合时失败。各种尺寸、形状和硬度的物体都能被可靠地操纵。虽然柔软的指尖在我们的实验中取得了良好的结果,但需要对姿势和物体大小进行足够精确的定义。当插值控制与力控制策略相结合时,在不使物体变形或掉落的情况下,可以在定义姿态和物体尺寸时产生更大的误差,并且合力更小。因此,我们实现了在不同姿势之间以及不同大小,形状和硬度的物体之间的健壮的手操作。
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Position-force combination control with passive flexibility for versatile in-hand manipulation based on posture interpolation
In-hand manipulation is often needed to accomplish a practical task after grasping an object. In-hand manipulation of variously sized and shaped objects in multi-fingered hands without dropping the object is challenging. In this paper we suggest a combined strategy of force control and passive adaptation through soft fingertips with simple interpolation control to achieve in-hand manipulation between various postures and with various objects. While passive compliance can be achieved in numerous ways, this paper uses soft skin, as it does not require complex mechanisms and was easy to integrate in the robot hand (Allegro hand). Softness has proven to significantly ease object grasping, and the current paper shows the importance of softness also for in-hand manipulation. In particular, the simple interpolation strategy between various postures is successful when combined with soft fingertips, with or without force control, but fails with hard fingertips. Objects of varying size, shape and hardness were reliably manipulated. While the soft fingertips enabled good results in our experiments, a sufficiently precise definition of the postures and object size was required. When combining the interpolation control with a force control strategy, bigger errors in defining the posture and object size are possible, without deforming or dropping the object, and the resultant force is lower. As a result, we achieved robust in-hand manipulation between various postures and with objects of different size, shape and hardness.
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