저자동시인용분석에 의한 서비스 로봇 분야의지적구조 분석

Robots are working in both industrial and service sectors. Robots have evolved from one-function automatons to intelligent systems of versatile features, and the new generation of service robots are sharing same space and tasks with humans. The purpose of this study is to analyze the intellectual structure of service robots research and to get basic data for policy planning. This study analyzed data from the Web of Science database and we performed clustering analysis, burst detection, and timeline analysis with a total of 7,252 documents and 61,454 references. Author co-citation analysis is used to analyze the intellectual structure of the service robots. As a result of the analysis, total 11 clusters were identified and the top five clusters are “Service robot”, “Concentric tube robot”, “Deep learning”, “Telepresence robot” and “Wearable robot”. And two clusters with high silhouette values were derived as “Magnetic actuation system” and “Aware robot navigation”. We identified the top 4 references with the strongest citation bursts and through timeline analysis we also presented the expecting clusters of the future through timeline analysis.