科技產品日新月異，貼近人類生活所需；廣義來說，與人互動、自主的科技產品，就可以稱之為機器人產品。根據國際機器人協會的統計資料，國防、保全、災害、醫療應用機器人銷售台數領先其他應用；另外，台灣社會型態的改變，走向老年化與少子化、地形特徵所造成的天災與目前保全機器人的投入等應用皆與國際機器人協會的統計資料相呼應；因此，本研究以醫療、保全、災害應用領域為研究目標，透過專利研究，瞭解醫療、保全、災害機器人領域技術的分佈情況與技術生命週期。
透過關鍵字群檢索與引證資料篩選獲得涵蓋3個領域之專利。並以此為基礎，使用專利地圖分析中的國際專利分類號分析，瞭解各個領域之國際專利分類號分佈情況，再以社會網路分析，歸納出關鍵國際專利分類號。檢索獲得之3個領域之專利與關鍵國際專利分類號，分別投入羅吉斯成長模型，發展成長曲線。
研究結果顯示，醫療應用領域的技術發展，著重於精密的醫療器械與儀器發展，同時也應著重於機械自動化，資訊與數據之處理；保全應用技術發展則著重於車輛、機械手臂、影像相關技術，用以幫助保全巡邏、監視、危機解除等應用；災害應用的技術應該投入於履帶車輛、機械手臂與程序控制系統的技術上，幫助與災害相關之應用。另一研究結果指出，羅吉斯成長模型所建構出之應用領域成長曲線與關鍵國際專利分類號成長曲線，兩者間有些微落差。主要是當單一技術出現時，並非快速的被接受，必需經過一段時間才被使用者與市場接受，因此從技術走向應用仍有一段時間。
應用領域成長曲線中可看出，保全領域的生命週期，目前處於成長末期，醫療與災害處與成熟初期。以國際專利分類號成長曲線的生命週期，技術皆都處於成熟初期。整體而言，仍有20年以上的投入空間，專利活動應著重於積極的專利佈局與避免專利衝突。

According to statistics of the International Federation of Robotics, defense, security, disaster, medical applications of robotics, those sales are popular. In addition, changes in social structure in Taiwan, such as aging and low birth rate. Nevertheless, there are much disasters caused by Topography. Those related applications are the same as statistics of IFR. Therefore, research objectives focus on the robotics of medical, disaster and disaster use patent and life cycle theory for technique.
The results of patent are composed of keywords and citations of patent. According to the results, we use the International Patent Classification analysis to know the distribution of IPCs. Using 1social network analysis which was based on distribution of IPCs is to get important IPCs. Finally, this research uses the result of patent and IPCs to implement Logistic growth model and to get the life cycles.
The results show that the medical application of technology development focus not only on sophisticated medical equipment and instrument development, but also on the automation, information and data for processing. And security application of technology development will focus on vehicles, machinery arm, and imaging techniques. The disaster application focus on the vehicles with track, machinery arm and process control systems. And this study finds out that there is a gap between growth curve of application and growth curve of IPCs. Because there is a new technology in the market, it can’t be accepted by user quickly.
From growth curve of application, we find that life cycle of security is on technology growth stage; life cycle of medical and disaster are on technology maturity stage. Applications of medical, security and disaster in growth curve of IPCs all are on technology maturity stage. Overall, we still have 20 years to invest in those technologies, and the activities of patent should focus on the active patent strategy and should avoid patent conflicts.

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