The correct grasp of objects is a key aspect for the right fulfillment of a given task. Obtaining
a good grasp requires algorithms to automatically determine proper contact points on the …

Designing robust end-effector plays a crucial role in performance of a robot workcell. Design
automation of industrial grippers' fingers/jaws is therefore of the highest interest in the robot …

We consider the problem of gras** novel objects in cluttered environments. If a full 3-d
model of the scene were available, one could use the model to estimate the stability and …

A method for fast visual gras** of unknown objects with a multifingered robotic hand is
presented in this paper. The algorithm is composed of an object surface reconstruction …

We consider the task of gras** novel objects and cleaning fairly cluttered tables with many
novel objects. Recent successful approaches employ machine learning algorithms to …

We consider the problem of gras** novel objects and its application to cleaning a desk. A
recent successful approach applies machine learning to learn one grasp point in an image …

The tracking and prediction of hand and finger movements along with gesture recognition is
an active subject of research due to its vast applications in many fields, such as prosthetic …

In this work, we describe and evaluate a gras** mechanism that does not make use of any
specific object prior knowledge. The mechanism makes use of second-order relations …

This paper addresses the problem of designing a practical system able to grasp real objects
with a three-fingered robot hand. A general approach for synthesizing two-and three-finger …