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» Learning to grasp objects with multiple contact points
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ICRA
2010
IEEE
144views Robotics» more  ICRA 2010»
13 years 3 months ago
Learning to grasp objects with multiple contact points
— We consider the problem of grasping novel objects and its application to cleaning a desk. A recent successful approach applies machine learning to learn one grasp point in an i...
Quoc V. Le, David Kamm, A. F. Kara, Andrew Y. Ng
IROS
2009
IEEE
206views Robotics» more  IROS 2009»
13 years 11 months ago
A hybrid approach for grasping 3D objects
— The paper presents a novel strategy that learns to associate a grasp to an unknown object/task. A hybrid approach combining empirical and analytical methods is proposed. The em...
Anis Sahbani, Sahar El-Khoury
IROS
2006
IEEE
131views Robotics» more  IROS 2006»
13 years 10 months ago
Imitation Learning of Whole-Body Grasps
Abstract— A system is detailed here for using imitation learning to teach a robot to grasp objects using both hand and wholebody grasps, which use the arms and torso as well as h...
Kaijen Hsiao, Tomás Lozano-Pérez
HAPTICS
2009
IEEE
13 years 11 months ago
Functional analysis of finger contact locations during grasping
In this paper we present a method for studying human selection of fingertip contact point locations during grasping and manipulation. Our aim is to perform a functional analysis,...
Matei T. Ciocarlie, Hao Dang, Jamie Lukos, Marco S...
IROS
2007
IEEE
132views Robotics» more  IROS 2007»
13 years 11 months ago
Handling shape and contact location uncertainty in grasping two-dimensional planar objects
— This paper addresses the problem of selecting contact locations for grasping objects in the presence of shape and contact location uncertainty. Focusing on two-dimensional plan...
Vassilios N. Christopoulos, Paul R. Schrater