Scale-Dependent Grasp.

Jacquard: A Large Scale Dataset for Robotic Grasp Detection

Grasping skill is a major ability that a wide number of real-life applications require for robotisation. Stateof-the-art robotic grasping methods perform prediction of object grasp locations based on deep neural networks which require huge amount of labeled data for training and prove impracticable in robotics. In this paper, we propose to generate a large scale synthetic dataset with ground tr...

Grasp.

Scale Dependent Dimensionality

We argue that dimensionality is not absolute, but that it depends on the scale of resolution, from the Planck to the macro scale.

Scale-dependent stochastic quantization

Based on the wavelet-defined multiscale random noise proposed in [2], a multiscale version of the stochastic quantization procedure is considered. A new type of the commutation relations emerging from the multiscale decomposition of the operator-valued fields is derived.

Scale-Dependent Grasps

This paper discusses the scale-dependent grasps. Suppose that an object is initially placed on a table without touching by human hand and, then he (or she) finally achieves an enveloping grasp after an appropriate approach phase. Under such initial and final conditions, human unconsciously changes the grasp strategy according to the size of object, even though they have similar geometry. We cal...