The binary-weights neural network for robot control
Created by W.Langdon from
gp-bibliography.bib Revision:1.7975
- @InProceedings{Li:2010:BioRob,
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author = "Shuguang Li and Jianping Yuan and Xiaokui Yue and
Jianjun Luo",
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title = "The binary-weights neural network for robot control",
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booktitle = "3rd IEEE RAS and EMBS International Conference on
Biomedical Robotics and Biomechatronics (BioRob 2010",
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year = "2010",
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month = "26-29 " # sep,
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pages = "765--770",
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abstract = "We propose a pure topological recurrent networks
controller, which has random binary connections in
hidden layer, and all hidden neurons are activated by
sinusoidal functions. A direct graph encoding method
and four genetic operators are implemented for using
genetic programming to train this controller. Firstly,
its feasibility and efficiency were validated by a pair
of function approximation experiments, the results show
that through evolutionary learning, this novel RNN
controller can handle nonlinear problems as well as
common RNN even without adjustable weights. Moreover, a
simulated mobile robot was equipped with this
controller, and the robot was navigated around
obstacles toward a goal in physical simulation
environments; during tests, this robot exhibited four
successful behaviours just by topological evolving on
the simple controller. This experiment reveals that
this controller has the simplicity, usability and
potential for robot control, it then raises the hope
for further works in exploring network motifs from high
level controllers.",
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keywords = "genetic algorithms, genetic programming, binary-weight
neural network, direct graph encoding, evolutionary
learning, genetic operator, navigation, nonlinear
problems, obstacle avoidance, random binary connection,
robot control, simulated mobile robot, sinusoidal
functions, topological recurrent artificial neural
network controller, collision avoidance, encoding,
learning (artificial intelligence), mobile robots,
neurocontrollers, random functions, recurrent neural
nets",
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DOI = "doi:10.1109/BIOROB.2010.5626893",
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ISSN = "2155-1774",
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notes = "is this GP? Northwestern Polytech. Univ., Xi'an,
China. Also known as \cite{5626893}",
- }
Genetic Programming entries for
Shu-guang Li
Jianping Yuan
Xiaokui Yue
Jianjun Luo
Citations