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» Active Learning for Robot Manipulation
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ICRA
2008
IEEE
128views Robotics» more  ICRA 2008»
14 years 2 months ago
Intrinsically motivated hierarchical manipulation
— We present a framework for the programming of manipulation behavior by means of an intrinsic reward function that encourages the building of deep control knowledge. We show how...
Stephen Hart, Shijaj Sen, Roderic A. Grupen
KES
1998
Springer
13 years 12 months ago
Intelligent control with the growing competitive linear local mapping neural network for robotic hand-eye coordination
Several intelligent features are embedded in the Growing Competitive Linear Local Mapping Neural Network. They result in an adaptive, fast-learning, very efficient control scheme, ...
Andrei Cimponeriu, Hubert Kihl
AR
2011
13 years 2 months ago
Imitation Learning of Positional and Force Skills Demonstrated via Kinesthetic Teaching and Haptic Input
A method to learn and reproduce robot force interactions in a Human-Robot Interaction setting is proposed. The method allows a robotic manipulator to learn to perform tasks which ...
Petar Kormushev, Sylvain Calinon, Darwin G. Caldwe...
AAAI
2011
12 years 7 months ago
Autonomous Skill Acquisition on a Mobile Manipulator
We describe a robot system that autonomously acquires skills through interaction with its environment. The robot learns to sequence the execution of a set of innate controllers to...
George Konidaris, Scott Kuindersma, Roderic A. Gru...
ICRA
2005
IEEE
128views Robotics» more  ICRA 2005»
14 years 1 months ago
Object Manipulation under Hybrid Active/Passive Closure
— In this paper, we discuss the manipulation of an object under hybrid active/passive closure. We show the orthogonality between the directions of active and passive force closur...
Tetsuyoh Watanabe, Kensuke Harada, Zhongwei Jiang,...