Cutaneous haptic feedback has recently received great attention from researchers in the
robotic teleoperation field, as it has been proven to convey rich information to the human …

Data sets are crucial not only for model learning and evaluation but also to advance
knowledge on human behavior, thus fostering mutual inspiration between neuroscience and …

Map** human hand motion to robotic hands has great significance in a wide range of
applications, such as teleoperation and imitation learning. The ultimate goal is to develop a …

In this article, the variety of approaches proposed in the literature to address the problem of
map** human to robot hand motions are summarized and discussed. We particularly …

Data glove is one of the most commonly used techniques in the robotic teleoperation
systems. In this paper, we propose a robotic hand-arm teleoperation system with a novel …

We present an integrated sensing glove that combines two of the most visionary wearable
sensing technologies to provide both hand posture sensing and tactile pressure sensing in a …

Manipulation involves both fine tactile feedback, with dynamic transients perceived by
fingerpad mechanoreceptors, and kinaesthetic force feedback, involving the whole hand …

The concept of teleoperation has been studied since the advent of robotics and has found
use in a wide range of applications, including exploration of remote or dangerous …

Achieving accurate and reliable kinematic hand pose reconstructions represents a
challenging task. The main reason for this is the complexity of hand biomechanics, where …

Teleoperation and telemanipulation have since the early years of robotics found use in a
wide range of applications, including exploration, maintenance, and response in remote or …