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» Imitation Learning of Whole-Body Grasps
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RAS
2010
109views more  RAS 2010»
13 years 3 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...
ICRA
2010
IEEE
147views Robotics» more  ICRA 2010»
13 years 3 months ago
Towards One Shot Learning by imitation for humanoid robots
— Teaching a robot to learn new knowledge is a repetitive and tedious process. In order to accelerate the process, we propose a novel template-based approach for robot arm moveme...
Yan Wu, Yiannis Demiris
DAGSTUHL
2000
13 years 6 months ago
Vision and Touch for Grasping
This paper introduces our one-armed stationary humanoid robot GripSee together with research projects carried out on this platform. The major goal is to have it analyze a table sce...
Rolf P. Würtz
AR
2007
204views more  AR 2007»
13 years 5 months ago
Action recognition and understanding through motor primitives
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...
Isabel Serrano Vicente, Ville Kyrki, Danica Kragic...
AR
2006
95views more  AR 2006»
13 years 5 months ago
Adaptive body schema for robotic tool-use
The development and expression of many higher level cognitive functions, such as imitation, spatial perception, and tool-use relies on a multi-modal representation of the body kno...
Cota Nabeshima, Yasuo Kuniyoshi, Max Lungarella