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 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
Conference Date 2001/4/20(1days)
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Registration To Human Communication Science (HCS)
Language ENG
Title (in Japanese) (See Japanese page)
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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
Date of Issue