ArticlePloS one2016
Patent Network Analysis and Quadratic Assignment Procedures to Identify the Convergence of Robot Technologies.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Research on the coupling coordination characteristics and convergence of digital finance and regional sustainable development: evidence from Chinese city clusters.Scientific reports · 2024Article
- Analysis of bottleneck technology identification and development characteristics in the electronic manufacturing industry.PloS one · 2024Article
- Article
- Spatial-temporal variation characteristics and evolution of the global industrial robot trade: A complex network analysis.PloS one · 2019Article
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Authors and funding
3 authors.
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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.
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