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TROB
2010
159views more  TROB 2010»
13 years 1 months ago
Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Ales Ude, Andrej Gams, Tamim Asfour, Jun Morimoto
ARTMED
2000
105views more  ARTMED 2000»
13 years 6 months ago
Planning treatment of ischemic heart disease with partially observable Markov decision processes
Diagnosis of a disease and its treatment are not separate, one-shot activities. Instead, they are very often dependent and interleaved over time. This is mostly due to uncertainty...
Milos Hauskrecht, Hamish S. F. Fraser
IROS
2009
IEEE
174views Robotics» more  IROS 2009»
14 years 1 months ago
Characterization and modeling of wireless channels for networked robotic and control systems - a comprehensive overview
— The goal of this paper is to serve as a reference for researchers in robotics and control that are interested in realistic modeling, theoretical analysis and simulation of wire...
Yasamin Mostofi, Alejandro Gonzalez-Ruiz, Alireza ...
RSS
2007
152views Robotics» more  RSS 2007»
13 years 8 months ago
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning
Abstract— This paper considers the problem of learning to recognize different terrains from color imagery in a fully automatic fashion, using the robot’s mechanical sensors as ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
EPIA
1995
Springer
13 years 10 months ago
Using Stochastic Grammars to Learn Robotic Tasks
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
Pedro U. Lima, George N. Saridis