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» Dogged Learning for Robots
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FLAIRS
1998
13 years 11 months ago
DFA Learning of Opponent Strategies
This work studies the control of robots in the adversarial world of "Hunt the Wumpus". The hybrid learning algorithm which controls the robots behavior is a combination ...
Gilbert L. Peterson, Diane J. Cook
ICRA
2007
IEEE
162views Robotics» more  ICRA 2007»
14 years 4 months ago
Learning and Evaluation of the Approach Vector for Automatic Grasp Generation and Planning
— In this paper, we address the problem of automatic grasp generation for robotic hands where experience and shape primitives are used in synergy so to provide a basis not only f...
Staffan Ekvall, Danica Kragic
ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
14 years 4 months ago
On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts
— This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
Sylvain Calinon, Florent Guenter, Aude Billard
AAAI
2008
14 years 9 days ago
Learning Grasp Strategies with Partial Shape Information
We consider the problem of grasping novel objects in cluttered environments. If a full 3-d model of the scene were available, one could use the model to estimate the stability and...
Ashutosh Saxena, Lawson L. S. Wong, Andrew Y. Ng
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
14 years 4 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...