A Hierarchical Approach for Adaptive Humanoid Robot Control

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

@InProceedings{liu:2004:ahafahrc,

• title = "A Hierarchical Approach for Adaptive Humanoid Robot Control",
• author = "Hongwei Liu and Hitoshi Iba",
• pages = "1546--1553",
• 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, Real-world applications, Evolutionary design \& evolvable hardware, CBR",
• URL = "http://www.iba.k.u-tokyo.ac.jp/papers/2004/lhwCEC2004.pdf",
• DOI = "doi:10.1109/CEC.2004.1331080",
• abstract = "The key idea in our approach is to extract control rules with GP in simplified simulation and get a prototype of the control program then interpret and interpolate it with CBR in the real world environments. Accordingly, our proposed approach consists of two stages: the evolution stage and the adaptation stage. In the first stage, the prototype of the control program is evolved based on abstract primitive behaviors in a highly simplified simulation. In the second stage, the best control program is applied to a physical robot thereby adapting it to the real world environments by using CBR.",
• notes = "CEC 2004 - A joint meeting of the IEEE, the EPS, and the IEE.",

}

Genetic Programming entries for Hongwei Liu Hitoshi Iba

Citations