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» Active Learning for Robot Manipulation
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AI50
2006
13 years 11 months ago
Intrinsically Motivated Machines
Abstract. Children seem intrinsically motivated to manipulate, to explore, to test, to learn and they look for activities and situations that provide such learning opportunities. I...
Frédéric Kaplan, Pierre-Yves Oudeyer
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
13 years 6 months ago
Body schema acquisition through active learning
— We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using ...
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesan...
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
14 years 2 months ago
Task maps in humanoid robot manipulation
— This paper presents an integrative approach to solve the coupled problem of reaching and grasping an object in a cluttered environment with a humanoid robot. While finding an ...
Michael Gienger, Marc Toussaint, Christian Goerick
ICRA
2000
IEEE
85views Robotics» more  ICRA 2000»
14 years 1 days ago
Neural Network Controller for Constrained Robot Manipulators
In this paper, a neural network controller for constrained robot manipulators is presented. A feedforward neural network is used to adaptively compensate for the uncertainties in ...
Shenghai Hu, Marcelo H. Ang, Hariharan Krishnan
ICRA
2009
IEEE
152views Robotics» more  ICRA 2009»
14 years 2 months ago
Integration of active and passive compliance control for safe human-robot coexistence
— In this paper we discuss the integration of active and passive approaches to robotic safety in an overall scheme for real-time manipulator control. The active control approach ...
Riccardo Schiavi, Antonio Bicchi, Fabrizio Flacco