| dc.description.abstract | 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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