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Environment cognition method of home robot based on extension theory

  • Qingcheng Huang*
  • , Maohai Li
  • , Zesu Cai
  • , Bingrong Hong
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In order to improve robot's environment cognizing and understanding level, a new realizing method of building environment spacial concept model is proposed as a result of the application of extension theory and achievements in intelligent robotics where home robot is used as the test-bed. The home robot expresses prior knowledge and environment model of the world with the theory of basic element and is able to realize storage, representation and processing of deep knowledge, then builds environment spacial concept model on the basis of their space position relationship after solving contradictory problems emerged from environment cognition via extension knowledge reasoning and priority degree evaluation method.

Original languageEnglish
Pages (from-to)213-216
Number of pages4
JournalHuazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
Volume36
Issue numberSUPPL. 1
StatePublished - Oct 2008
Externally publishedYes

Keywords

  • Artificial intelligence
  • Environment cognition
  • Environment modeling
  • Extenics
  • Home robot

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