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RAS
2010
109views more  RAS 2010»
13 years 2 months ago
Combining active learning and reactive control for robot grasping
Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The system must decide both where and how to grasp the object. While selecting where to grasp...
Oliver Krömer, Renaud Detry, Justus H. Piater...
ECAI
2004
Springer
13 years 9 months ago
Active Learning for Robot Manipulation
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, ...
ICRA
2009
IEEE
110views Robotics» more  ICRA 2009»
13 years 11 months ago
Reactive grasping using optical proximity sensors
— We propose a system for improving grasping using fingertip optical proximity sensors that allows us to perform online grasp adjustments to an initial grasp point without requi...
Kaijen Hsiao, Paul Nangeroni, Manfred Huber, Ashut...
BC
2005
83views more  BC 2005»
13 years 4 months ago
Learning visuomotor transformations for gaze-control and grasping
For reaching to and grasping of an object, visual information about the object must be transformed into motor or postural commands for the arm and hand. In this paper, we present a...
Heiko Hoffmann, Wolfram Schenck, Ralf Möller
IROS
2008
IEEE
125views Robotics» more  IROS 2008»
13 years 10 months ago
Neighborhood denoising for learning high-dimensional grasping manifolds
— Human control of high degree-of-freedom robotic systems, e.g. anthropomorphic robot hands, is often difficult due to the overwhelming number of variables that need to be speci...
Aggeliki Tsoli, Odest Chadwicke Jenkins