Patent network analysis and quadratic assignment procedures to identify the convergence of robot technologies

Woo Jin Lee, Won Kyung Lee, So Young Sohn

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

Because of the remarkable developments in robotics in recent years, technological convergence has been active in this area. We focused on finding patterns of convergence within robot technology using network analysis of patents in both the USPTO and KIPO. To identify the variables that affect convergence, we used quadratic assignment procedures (QAP). From our analysis, we observed the patent network ecology related to convergence and found technologies that have great potential to converge with other robotics technologies. The results of our study are expected to contribute to setting up convergence based R&D policies for robotics, which can lead new innovation.

Original languageEnglish
Article numbere0165091
JournalPloS one
Volume11
Issue number10
DOIs
Publication statusPublished - 2016 Oct

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (2016R1A2A1A05005270).

Publisher Copyright:
© 2016 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

All Science Journal Classification (ASJC) codes

  • General

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