Real-time adaptation technique to real robots: An                  experiment with a humanoid robot 
Created by W.Langdon from
gp-bibliography.bib Revision:1.8592
- @InProceedings{Kamio:2003:RattrrAewahr,
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  author =       "Shotaro Kamio and Hitoshi Iba",
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  title =        "Real-time adaptation technique to real robots: An
experiment with a humanoid robot",
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  booktitle =    "Proceedings of the 2003 Congress on Evolutionary
Computation CEC2003",
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  editor =       "Ruhul Sarker and Robert Reynolds and 
Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and 
Tom Gedeon",
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  pages =        "506--513",
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  year =         "2003",
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  publisher =    "IEEE Press",
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  address =      "Canberra",
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  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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  month =        "8-12 " # dec,
- 
  organisation = "IEEE Neural Network Council (NNC), Engineers Australia
(IEAust), Evolutionary Programming Society (EPS),
Institution of Electrical Engineers (IEE)",
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  ISBN =         "0-7803-7804-0",
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  keywords =     "genetic algorithms, genetic programming, Costs,
Humanoid robots, Light sources, Machine learning,
Manufacturing processes, Neural networks, Robot
control, Robot programming, adaptive systems, learning
(artificial intelligence), real-time systems, robots,
task analysis, AIBO, HOAP-1 robot, Q-learning method,
box-moving task, humanoid robot, operational
characteristics, real robots, real-time adaptation,
real-time learning, reinforcement learning",
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  DOI =          " doi:10.1109/CEC.2003.1299618", doi:10.1109/CEC.2003.1299618",
- 
  abstract =     "We introduce a technique that allows a real robot to
execute a real-time learning, in which GP and RL are
integrated. In our former research, we showed the
result of an experiment with a real robot 'AIBO' and
proved the technique performed better than the
traditional Q-learning method. Based on the proposed
technique, we can acquire the common programs using a
GP, applicable to various types of robots. We execute
reinforcement learning with the acquired program in a
real robot. In this way, the robot can adapt to its own
operational characteristics and learn effective
actions. In this paper, we show the experimental
results in which a humanoid robot HOAP-1 has been
evolved to perform effectively to solve the box-moving
task.",
- 
  notes =        "CEC 2003 - A joint meeting of the IEEE, the IEAust,
the EPS, and the IEE.",
- }
Genetic Programming entries for 
Shotaro Kamio
Hitoshi Iba
Citations
