Presentation | 2002/7/19 Navigation of Mobile Robot using Neural-Gas and Reinforcement Learning Toshio TANAKA, Kenji NISHIDA, Takio KURITA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Martinetz et al. proposed a neural network model which can preserve the topology of the place cells and can be self-organized by using neural-gas and competitive Hebbian learning. In his computer simulation on exploration of a rat in an environment consisted of the square area with a number of obstacles, it is shown that both a topology preserving map and a path preserving representation of the obstacle-free area can be self-organized by the network. In this paper, we propose a learning algorithm for navigation on the Martinetz's network based on the actor-critic reinforcement learning. Our simulation results shows that the time to arrive at the goal gradually improved as the learning proceeds. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural-gas / place cell / mobile robot / navigation / reinforcement learning |
Paper # | NC2002-41 |
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Committee | NC |
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Conference Date | 2002/7/19(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Navigation of Mobile Robot using Neural-Gas and Reinforcement Learning |
Sub Title (in English) | |
Keyword(1) | neural-gas |
Keyword(2) | place cell |
Keyword(3) | mobile robot |
Keyword(4) | navigation |
Keyword(5) | reinforcement learning |
1st Author's Name | Toshio TANAKA |
1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology() |
2nd Author's Name | Kenji NISHIDA |
2nd Author's Affiliation | National Institute of Advanced Industrial Science and Technology |
3rd Author's Name | Takio KURITA |
3rd Author's Affiliation | National Institute of Advanced Industrial Science and Technology |
Date | 2002/7/19 |
Paper # | NC2002-41 |
Volume (vol) | vol.102 |
Number (no) | 253 |
Page | pp.pp.- |
#Pages | 6 |
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