지능형 로봇 기술연구 동향 : 키워드 네트워크 분석 방법 적용
Technology Research Trends of Intelligent Robots : A Keyword Network Analysis
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초록
In this study, we analyzed technological research trends in intelligent robots and identified key technologies using keyword network analysis. Frequency and centrality analyses were performed on 320 papers published in Korea since 2000. Related research has increased since 2010, and active research has been conducted especially since 2020. Recognition technology, including sensor, SLAM, and object recognition, accounted for the highest proportion, followed by intelligence technology, integration and interaction technology, and motor technology. High-frequency keywords such as mobile robot, AI, autonomous driving, reinforcement learning, and SLAM also showed high network centrality. This study suggests that future research should focus on key issues such as safety, reliability, human-robot interaction, and standardization.
Abstract
In this study, we analyzed technological research trends in intelligent robots and identified key technologies using keyword network analysis. Frequency and centrality analyses were performed on 320 papers published in Korea since 2000. Related research has increased since 2010, and active research has been conducted especially since 2020. Recognition technology, including sensor, SLAM, and object recognition, accounted for the highest proportion, followed by intelligence technology, integration and interaction technology, and motor technology. High-frequency keywords such as mobile robot, AI, autonomous driving, reinforcement learning, and SLAM also showed high network centrality. This study suggests that future research should focus on key issues such as safety, reliability, human-robot interaction, and standardization.