title: Patent Network Analysis and Quadratic Assignment Procedures to Identify the Convergence of Robot Technologies.
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.
authors.affiliation: Department of Information and Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seoul 120-749, Republic of Korea.
authors.forename: Woo Jin
authors.initials: WJ
authors.lastname: Lee
authors.affiliation: Department of Information and Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seoul 120-749, Republic of Korea.
authors.forename: Won Kyung
authors.initials: WK
authors.lastname: Lee
authors.affiliation: Department of Information and Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seoul 120-749, Republic of Korea.
authors.forename: So Young
authors.identifier: http://orcid.org/0000-0002-3958-2269
authors.initials: SY
authors.lastname: Sohn
mesh_terms: D001709:Biotechnology; D006801:Humans; D008962:Models, Theoretical; D010330:Patents as Topic; D012371:Robotics / Q000379:methods*