Grasping is the process of picking up an object by applying forces and torques at a set of
contacts. Recent advances in deep learning methods have allowed rapid progress in robotic …

The proliferation of soft robotics research worldwide has brought substantial achievements
in terms of principles, models, technologies, techniques, and prototypes of soft robots. Such …

Contact-rich manipulation tasks in unstructured environments often require both haptic and
visual feedback. However, it is non-trivial to manually design a robot controller that …

We approach the problem of high-DOF reaching-and-grasping via learning joint planning of
grasp and motion with deep reinforcement learning. To resolve the sample efficiency issue …

In this survey, we present the current status on robots performing manipulation tasks that
require varying contact with the environment, such that the robot must either implicitly or …

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 …

Flexible sensors are low cost, wearable, and lightweight, as well as having a simple
structure as per the requirements of engineering applications. Furthermore, for many …

This paper presents an overview of the inaugural Amazon Picking Challenge along with a
summary of a survey conducted among the 26 participating teams. The challenge goal was …

We consider the problem of sequential manipulationand tool-use planning in domains that
include physical interac-tions such as hitting and throwing. The approach integrates aTask …

We introduce a vacuum-powered soft pneumatic actuator (V-SPA) that leverages a single,
shared vacuum power supply and enables complex soft robotic systems with multiple …