Presentation | 2001/4/20 Virtual World Modeling for Software Robot using Neural Networks Piperakis Romanos, Suguru Saito, Hiroki Takahashi, Masayuki Nakajima, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A software robot in the scope of this paper is regarded as an autonomous intelligent agent situated in a virtual reality environment. As such, it is of fundamental importance to be able to create an internal representation or model of its surroundings. This model must gather the relevant to the robot scene information in a compact representation, which will subsequently be used to accommodate the robot's functional requirements. The model is also required to be incremental, in order to be able to grow and adapt to environmental information as it becomes available, and it must allow for incomplete or fuzzy knowledge to describe parts of the scene that have not been available to the robot's sensors. We propose a neural network based model along with a training technique that succeeds inmeeting these requirements. |
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Paper # | HCS2001-3 |
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Committee | HCS |
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Conference Date | 2001/4/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Human Communication Science (HCS) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Virtual World Modeling for Software Robot using Neural Networks |
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1st Author's Name | Piperakis Romanos |
1st Author's Affiliation | Graduate School of Computer Science and Engineering, Tokyo Institute of Technology() |
2nd Author's Name | Suguru Saito |
2nd Author's Affiliation | Faculty of Precision and Intelligence Laboratory, Tokyo Institute of Technology |
3rd Author's Name | Hiroki Takahashi |
3rd Author's Affiliation | Graduate School of Computer Science and Engineering, Tokyo Institute of Technology |
4th Author's Name | Masayuki Nakajima |
4th Author's Affiliation | Graduate School of Computer Science and Engineering, Tokyo Institute of Technology |
Date | 2001/4/20 |
Paper # | HCS2001-3 |
Volume (vol) | vol.101 |
Number (no) | 36 |
Page | pp.pp.- |
#Pages | 6 |
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