Conventional visual perception technology is subject to many restrictions, such as
illumination, background clutter, and occlusion. Many intrinsic properties of objects, like …

This work presents a soft hand capable of robustly gras** and identifying objects based
on internal state measurements along with a combined system which autonomously …

Classical robotic approaches to tactile object identification often involve rigid mechanical
grippers, dense sensor arrays, and exploratory procedures (EPs). Though EPs are a natural …

In this paper, a novel vision-based measurement (VBM) approach is proposed to estimate
the contact force and classify materials in a single grasp. This approach is the first event …

In this paper, we propose a set of novel tactile descriptors to enable robotic systems to
extract robust tactile information during tactile object explorations, regardless of the number …

The tasks of exploring unknown workspaces and recognizing objects based on their
physical properties are challenging for autonomous robots. In this paper, we present …

The sense of touch can provide a robot with a wealth of information about the contact region
when interacting with an unknown environment. Nevertheless, utilizing touch information to …

The use of tactile feedback for precision manipulation in robotics still lags far behind human
capabilities. This study has two principal aims: 1) to demonstrate in-hand reorientation of …

Object classification based on tactile perception plays an essential role in robot
manipulation process, as it serves for decision-making for the the downstream manipulation …

Tactile manipulation will be essential for automating industrial and service tasks currently
done by humans. However, the application of tactile feedback to dexterous manipulation …