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A Knowledge-Based System for Sharing and Reusing Tacit Knowledge in Robotic Manufacturing

A Knowledge-Based System for Sharing and Reusing Tacit Knowledge in Robotic Manufacturing

Lei Wang, Yajie Tian, Tetsuo Sawaragi, Yukio Horiguchi
Copyright: © 2010 |Volume: 1 |Issue: 4 |Pages: 18
ISSN: 1947-8208|EISSN: 1947-8216|EISBN13: 9781613502945|DOI: 10.4018/jkss.2010100104
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MLA

Wang, Lei, et al. "A Knowledge-Based System for Sharing and Reusing Tacit Knowledge in Robotic Manufacturing." IJKSS vol.1, no.4 2010: pp.61-78. http://doi.org/10.4018/jkss.2010100104

APA

Wang, L., Tian, Y., Sawaragi, T., & Horiguchi, Y. (2010). A Knowledge-Based System for Sharing and Reusing Tacit Knowledge in Robotic Manufacturing. International Journal of Knowledge and Systems Science (IJKSS), 1(4), 61-78. http://doi.org/10.4018/jkss.2010100104

Chicago

Wang, Lei, et al. "A Knowledge-Based System for Sharing and Reusing Tacit Knowledge in Robotic Manufacturing," International Journal of Knowledge and Systems Science (IJKSS) 1, no.4: 61-78. http://doi.org/10.4018/jkss.2010100104

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Abstract

A critical problem in robotic manufacturing is that the task of teaching robotics is rather time-consuming. This has become a serious problem in the present age of cost reduction. Collaboration with a company in the field has revealed that the root cause of this problem is that there is not a common knowledge base in this domain, which can serve as shared and reused knowledge. In robotic manufacturing, the skills and experiences of skilled workers are a form of tacit knowledge that is difficult to be acquired and transferred to other workers and robots. This paper proposes a knowledge-based system for sharing and reusing tacit knowledge in the robotic assembly domain. In this system, a modified EBL (Explanation-based Learning) method is proposed to generalize tacit knowledge from specific robotic programs made by skilled workers. A newly operational criterion is proposed for the generalized tacit knowledge, which demands that it should be expressed understandably by human workers and be reusable by robots to generate programs automatically.

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