Presentation | 2006-03-17 Prediction Based on Spiking Neurons for Visual Perception of a Partner Robot Kenichiro NISHIDA, Naoyuki KUBOTA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper discusses the importance of prediction in visual perception for the communication between the robot and human. We propose a prediction-based perceptual system based on spiking neuron. In our proposal system, the robot extracts the pattern of the human interaction based on unsupervised learning, and predicts the change of interaction pattern for control of perceptual modules. Furthermore, we show the experimental results of the communication between a partner robot and human based on our proposal method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Partner Robot / Spiking Neurons / Visual Perception / Prediction |
Paper # | NC2005-164 |
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Committee | NC |
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Conference Date | 2006/3/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Prediction Based on Spiking Neurons for Visual Perception of a Partner Robot |
Sub Title (in English) | |
Keyword(1) | Partner Robot |
Keyword(2) | Spiking Neurons |
Keyword(3) | Visual Perception |
Keyword(4) | Prediction |
1st Author's Name | Kenichiro NISHIDA |
1st Author's Affiliation | Graduate School of Engineering, Tokyo Metropolitan University() |
2nd Author's Name | Naoyuki KUBOTA |
2nd Author's Affiliation | Graduate School of System Design, Tokyo Metropolitan University:Japan Science and Technology Agency (JST) |
Date | 2006-03-17 |
Paper # | NC2005-164 |
Volume (vol) | vol.105 |
Number (no) | 659 |
Page | pp.pp.- |
#Pages | 6 |
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