Evolutionary Construction of a Simulator for Real Robots

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{kamio:2004:ecoasfrr,

• title = "Evolutionary Construction of a Simulator for Real Robots",
• author = "Shotaro Kamio and Hitoshi Iba",
• pages = "2202--2209",
• booktitle = "Proceedings of the 2004 IEEE Congress on Evolutionary Computation",
• year = "2004",
• publisher = "IEEE Press",
• month = "20-23 " # jun,
• address = "Portland, Oregon",
• ISBN = "0-7803-8515-2",
• keywords = "genetic algorithms, genetic programming, Evolutionary intelligent agents",
• URL = "http://www.iba.k.u-tokyo.ac.jp/papers/2004/kamioCEC2004.pdf",
• DOI = "doi:10.1109/CEC.2004.1331170",
• abstract = "In order to acquire useful motions of a real-world robot, it is necessary to carry out learning in a real environment. However, learning is difficult within a real environment. In addition, the acceleration of learning is required for a practical execution. In this paper, we propose an approach to the learning acceleration using data retrieved from the real environment. This consists of the method of automatically constructing the simulator from real data and of learning a robot controller with the simulator. The experimental results suggest that our GP-based technique enables the effective controller learning.",
• notes = "CEC 2004 - A joint meeting of the IEEE, the EPS, and the IEE.",

}

Genetic Programming entries for Shotaro Kamio Hitoshi Iba

Citations