강인한 지식 등록 방법을 통한 동적 환경에서의 로봇 지식 갱신

Translated title of the contribution: Robot knowledge update in dynamic environments using dependable knowledge instantiation method

Dae Sic Lee, Gi Hyun Lim, Il Hong Suh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Incomplete knowledge instances may be registered from misidentifications of sensors, such as vision sensor. In previous study, we proposed robust object instance registration method to robot centered knowledge framework to guarantee the consistency of the registered knowledge. In real environment, a persistent update is necessary due to the objects can be moved dynamically. In this paper, we propose the way to update robot knowledge continually using the registration method. Our experiment in this paper shows that sound and complete knowledge can be registered and updated by the proposed method, even under imperfect sensing data.
Translated title of the contributionRobot knowledge update in dynamic environments using dependable knowledge instantiation method
Original languageUndefined
Title of host publication대한전자공학회:학술대회논문집
PublisherThe Institute of Electronics and Information Engineers
Pages267-269
Number of pages3
Publication statusPublished - 2009

Keywords

  • Robot Knowledge
  • False-Negative
  • False-Positive
  • Context Reasoning
  • Knowledge Instantiation

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