Most prosthetic limbs can autonomously move with dexterity, yet they are not perceived by
the user as belonging to their own body. Robotic limbs can convey information about the …

BACKGROUND Humans have a fantastic ability to manipulate objects of various shapes,
sizes, and materials and can control the objects' position in confined spaces with the …

We demonstrate that models trained only in simulation can be used to solve a manipulation
problem of unprecedented complexity on a real robot. This is made possible by two key …

We use reinforcement learning (RL) to learn dexterous in-hand manipulation policies that
can perform vision-based object reorientation on a physical Shadow Dexterous Hand. The …

While significant progress has been made on understanding hand-object interactions in
computer vision, it is still very challenging for robots to perform complex dexterous …

This article reports on the state of the art of artificial hands, discussing some of the field's
most important trends and suggesting directions for future research. We review and group …

In this letter, we show that soft robotic hands provide a robust means of performing basic
primitives of in-hand manipulation in the presence of uncertainty. We first discuss the design …

Résumé A highly versatile soft gripper that can handle an unprecedented range of object
types is developed based on a new design of dielectric elastomer actuators employing an …

Tactile sensing is an essential element of autonomous dexterous robot hand manipulation. It
provides information about forces of interaction and surface properties at points of contact …

Replacing the human hand with artificial devices of equal capability and effectiveness is a
long-standing challenge. Even the most advanced hand prostheses, which have several …