Earticle

초록

영어

To perform missions assigned by people, the mobile robot needs to learn both itself and the world it is in, to use the learned knowledge to reason and make decisions to resolve problems, and to guide further learning, and to establish its knowledge base which contains huge amounts of common sense. During the process of executing missions by reasoning and learning, it is critical to enable domain-specific robots be more tolerant rather than puzzled when encountering perturbations. In this paper, active logic is improved to deal with contradicted beliefs, metacognitive loop is incorporated to supervise and guide the whole reasoning process. Finally, route crack experiments state that this metacognitive loop and improved active logic based method can handle robot commonsense reasoning in an efficient way and be comparatively robust with perturbations.

목차

Abstract
 1. Introduction
 2. Route Crash Example
 3. Metacognitive Loop
 4. Active Logic
 5. Experiments and Analysis
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Kejun Wang [ College of Automation, Harbin Engineering University ]
• Tongchun Du [ College of Automation, Harbin Engineering University ]
• Xiaofei Yang [ College of Automation, Harbin Engineering University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605