Tactile sensation obtained from touch is one of the most important factors that determine impression an object. A method for identifying tactile textures required because individual differences exist in feeling textures. In this study, we propose a handy-type sensor object recognition using convolutional neural networks (CNNs). The consists three-axis pressure and optical motion mouse can detec...

OBJECTIVES We developed a new sensor system for in situ measurement of myocardial tactile stiffness-stiffness in a direction perpendicular to the wall-and validated its use for providing a reasonable estimation of regional myocardial function. BACKGROUND Numerous attempts have been made to directly assess regional myocardial function. The complexity and highly invasive nature of the measuring...

This paper describes a hand-arm system equipped with optical three-axis tactile sensors and a binocular vision sensor. The vision compensates for the limitations of tactile information and tactile sensing, and vice versa. The tactile sensor can obtain geometrical data as real scale, while image data requires calibration to obtain length as a metric unit. Even if stereovision is used, we cannot ...

Tactile information is important for gripping, stable grasp, and in-hand manipulation, yet the complexity of tactile data prevents widespread use of such sensors. We make use of an unsupervised learning algorithm that transforms the complex tactile data into a compact, latent representation without the need to record ground truth reference data. These compact representations can either be used ...

Electro-tactile display has simple mechanical structure and it can present tactile stimulus. However, electro-tactile display lacks of feedback corresponding to touching motion. In this research, we developed a device that combines an electro-tactile display and pressure distribution sensor. The device not only solves problem of unnatural electrical sensation, but also enables expression of hap...

Most current works in Sim2Real learning for robotic manipulation tasks leverage camera vision that may be significantly occluded by robot hands during the manipulation. Tactile sensing offers complementary information to and can compensate loss caused occlusions. However, use of tactile is restricted research due no simulated sensors being available. To mitigate gap, we introduce a novel approa...

In this paper, we present a new approach to realize whole-body tactile interactions with a self-organizing, multi-modal artificial skin on a humanoid robot. We, therefore, equipped the whole upper body of the humanoid HRP-2 with various patches of CellulARSkin – a modular artificial skin. In order to automatically handle a potentially high number of tactile sensor cells andmotors units, the rob...