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Implicit Accuracy Constraints in Two-Fingered Grasps of Virtual Objects with Haptic Feedback

机译:具有触觉反馈的虚拟对象的两指法掌握的隐式准确性约束

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Using virtual objects that provided haptic feedback we studied two- fingered movements of reaching to grasp and lift an object. These reach-grasp-lift movements were directed to objects of identical physical size but with the different physical properties of mass, and coefficient of friction between the floor and object. For each condition, the resulting forces and kinematic properties of movements were recorded after a brief amount of practice with reaching to grasp and lift the object. It was found that for conditions where the object was more stable to perturbation, such as large mass or high friction, the contact force with the object was greater. This suggests that the stability of the object is quickly and easily learned and subsequently influences the accuracy of the movement. The possibility is discussed that such programming of contact force is incorporated into the planning of grasps and how this would interact with the execution of grasps to virtual objects with and without haptic feedback.
机译:使用提供触觉反馈的虚拟对象我们研究了到达的两翅手动,以掌握和抬起物体。这些到达 - 抓握升力运动涉及相同物理尺寸的对象,但具有不同的质量物质性质,以及地板和物体之间的摩擦系数。对于每个条件,在短暂的实践中,通过达到抓握并抬起物体后,记录所得力和运动的动力学。发现,对于物体对扰动更稳定的条件,例如大质量或高摩擦,具有物体的接触力更大。这表明,物体的稳定性很快且容易地学习,随后影响运动的准确性。讨论了这种接触力的这种编程被纳入了GRASP的规划,以及如何与使用触觉反馈的虚拟对象进行掌握与虚拟对象相互作用。

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