Prediction of robot technology using multi-phase model

Juhyun Lee, Junseok Lee, Jiho Kang, Sangsung Park, Dongsik Jang

Research output: Contribution to journalArticlepeer-review

Abstract

Technology changes with the times. It is difficult to predict, as technology develops under the influence of several factors. We analyze the technology by carrying out the patent from a time series perspective. The study consists of two phases. In the first phase, time series models detect the trend, cycle, and seasonality of the technology. Next phase performs to predict the importance of term. In order to confirm the practical applicability of the proposed method, 2,268 industrial robot patents were collected and tested. As a result, it was found that technologies beyond the dual control based on carbon materials among industrial robots will continue to develop.

Original languageEnglish
Pages (from-to)181-185
Number of pages5
JournalJournal of Advances in Information Technology
Volume11
Issue number3
DOIs
Publication statusPublished - 2020 Aug

Keywords

  • Patent analysis
  • Predictive modeling
  • Robot
  • Time series

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Artificial Intelligence
  • Software
  • Computer Networks and Communications

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