We present Stick&Slip, a novel approach that alters friction between the fingerpad &
surfaces by depositing liquid droplets that coat the fingerpad. The liquid coating modifies the …

HANDdata is a dataset designed to provide hand kinematics and proximity vision data
during reach to grasp actions of non-virtual objects, specifically tailored for autonomous …

Tactile perception is impaired in a limb that is moving compared to when it is static. A
possible mechanism that explains this phenomenon is an internal forward model that …

Reach-to-grasp actions are fundamental to the daily activities of human life, but few methods
exist to assess individuals' reaching and gras** actions in unconstrained environments …

To grasp an object successfully, we must select appropriate contact regions for our hands on
the surface of the object. However, identifying such regions is challenging. This paper …

When interacting with objects, we often rely on visual information. However, vision is not
always the most reliable sense for determining relevant object properties. For example …

Selecting suitable grasps on three-dimensional objects is a challenging visuomotor
computation, which involves combining information about an object (eg, its shape, size, and …

In real-life, gras** is one of the fundamental and effective forms of interaction when
manipulating objects. This holds true in the physical and virtual world; however, unlike the …

Most daily tasks require using our hands. Whether taking a sip from a glass or throwing a
ball, we effortlessly select appropriate grasps. Yet, despite many possible hand …