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» Using Stochastic Grammars to Learn Robotic Tasks
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MICAI
2009
Springer
15 years 8 months ago
A Two-Stage Relational Reinforcement Learning with Continuous Actions for Real Service Robots
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
Julio H. Zaragoza, Eduardo F. Morales
TSMC
2010
14 years 8 months ago
Interactive Teaching for Vision-Based Mobile Robots: A Sensory-Motor Approach
Abstract--For the last decade, we have developed a visionbased architecture for mobile robot navigation. Our bio-inspired model of the navigation has proved to achieve sensory-moto...
Christophe Giovannangeli, Philippe Gaussier
ROBOCOMM
2007
IEEE
15 years 7 months ago
Shared memories: a trail-based coordination server for robot teams
Abstract—Robust, dependable and concise coordination between members of a robot team is a critical ingredient of any such collective activity. Depending on the availability and t...
George Roussos, Dikaios Papadogkonas, J. Taylor, D...
NIPS
2004
15 years 2 months ago
Stable adaptive control with online learning
Learning algorithms have enjoyed numerous successes in robotic control tasks. In problems with time-varying dynamics, online learning methods have also proved to be a powerful too...
Andrew Y. Ng, H. Jin Kim
CORR
2010
Springer
123views Education» more  CORR 2010»
14 years 12 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...