Patent Network Analysis and Quadratic Assignment Procedures to Identify the Convergence of Robot Technologies

<div><p>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.</p></div

Significant results of the QAP regression.

<p>Significant results of the QAP regression.</p

KIPO patent network map.

<p>KIPO patent network map.</p

Technologies with ratio of convergence greater than 100%.

<p>Technologies with ratio of convergence greater than 100%.</p

Patents in each technology area registered with the USPTO and KIPO since 2001.

<p>Patents in each technology area registered with the USPTO and KIPO since 2001.</p

CONCOR result from both patent offices.

<p>CONCOR result from both patent offices.</p

Significant results of QAP regression.

<p>Significant results of QAP regression.</p

Number of patents in robot technology registered with the USPTO and KIPO.

<p>Number of patents in robot technology registered with the USPTO and KIPO.</p

Quantitative shear-wave elastography parameters.

<p>Quantitative shear-wave elastography parameters.</p

Summary of cases upgraded to atypical papilloma or malignancy after excision.

<p>Summary of cases upgraded to atypical papilloma or malignancy after excision.</p