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Patent Network Analysis and Quadratic Assignment Procedures to Identify the Convergence of Robot Technologies.
Lee, Woo Jin; Lee, Won Kyung; Sohn, So Young.
Affiliation
  • Lee WJ; Department of Information and Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seoul 120-749, Republic of Korea.
  • Lee WK; Department of Information and Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seoul 120-749, Republic of Korea.
  • Sohn SY; Department of Information and Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seoul 120-749, Republic of Korea.
PLoS One ; 11(10): e0165091, 2016.
Article in En | MEDLINE | ID: mdl-27764196
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Robotics Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2016 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Robotics Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2016 Document type: Article Country of publication: United States