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AROBOTS
2002
91views more  AROBOTS 2002»
15 years 12 days ago
Fast, On-Line Learning of Globally Consistent Maps
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro
ICRA
2007
IEEE
162views Robotics» more  ICRA 2007»
15 years 6 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
NN
2010
Springer
187views Neural Networks» more  NN 2010»
14 years 7 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
88
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ICML
2009
IEEE
16 years 1 months ago
The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
Carlos Diuk, Lihong Li, Bethany R. Leffler
ICRA
2010
IEEE
112views Robotics» more  ICRA 2010»
14 years 11 months ago
A Robotic Sensor Network for monitoring carp in Minnesota lakes
— Robotic Sensor Networks (RSNs) find increasing use in environmental monitoring as RSNs can collect data from obscure, hard-to-reach places over long periods of time. This work...
Deepak Bhadauria, Volkan Isler, Andrew Studenski, ...