Abstract— Learning techniques in robotic grasping applications have usually been concerned with the way a hand approaches to an object, or with improving the motor control of man...
Antonio Morales, Eris Chinellato, Andrew H. Fagg, ...
Abstract. This article deals with a monocular vision system for grasping gesture acquisition. This system could be used for medical diagnostic, robot or game control. We describe a...
— Algorithms for dextrous robot grasping always have to cope with the challenge of achieving high object specialisation for a wide range of grasping contexts. In this paper, we p...
— We present a strategy for grasping of real world objects with two anthropomorphic hands, the three-fingered 9DOF hydraulic TUM and the very dextrous 20-DOF pneumatic Bielefeld...
—The inherent uncertainty associated with unstructured grasping tasks makes establishing a successful grasp difficult. Traditional approaches to this problem involve hands that a...
Grasping an object successfully implies avoiding colliding into it before the hand is closed around the object. The present study focuses on prehension kinematics that typically re...
Janneke Lommertzen, Eliana Costa e Silva, Raymond ...
— In this paper we outline a grasp planning system designed to augment the cortical control of a prosthetic arm and hand. A key aspect of this task is the presence of on-line use...
Matei T. Ciocarlie, Samuel T. Clanton, M. Chance S...
— This paper presents a method to determine the rough shape of an object. This is a step in the development of a ”One Click Grasping Tool”, a grasping tool of everyday-life o...
— This paper discusses the grasp planning of a multifingered hand attached at the tip of a robotic arm. By using the convex models and the new approximation method of the fricti...
In this paper, we propose a method that generates grasping actions for novel objects based on visual input from a stereo camera. We are integrating two methods that are advantageou...