4 accepted papers
In this letter, we propose a new data-driven approach for haptic modeling of normal interactions on homogeneous viscoelastic deformable objects. The approach is based on a well-known machine learning technique: random forest. Here, we employ a random forest for regression. We acquire discrete-time i
Many robotics applications involving contact with objects require the decomposition of an external force measured by a force sensor into its normal and shear components. In this paper, we present a general and effective contact force decomposition method based on the contact pressure distribution. T
This paper presents a novel indicator for lump detection that uses only contact pressure distribution, as well as its feasibility evaluation. The conventional lump detection methods are based on a pressure map obtained from contact pressure distributions, but they requires an adequate regulation of…
Perceptual quality for media compression algorithms is traditionally evaluated through user studies. Such studies are time consuming, laborious and expensive, slowing down the development of new signal processing algorithms. To address this problem, a number of algorithmic quality prediction methodo…