Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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A Study on Methods to Train Experts in Robot and Artificial Intelligence-Based Data Signal Processing in Response to the Increased Use of Robots

로봇의 활용증가에 따른 로봇 및 인공지능 기반 데이터 신호처리 전문가 양성 방안에 관한 연구

  • Chung-Ho Ju (School of Business Administration at Kyungpook National University) ;
  • Dae-Yeon Kim (Korea Institute of Robotics & Technology Convergence) ;
  • Kyoung-Ho Kim (Korea Institute of Robotics & Technology Convergence) ;
  • Tae-Woong Gwon (Korea Institute of Robotics & Technology Convergence) ;
  • Dong-Seop Sohn (Korea Institute of Robotics & Technology Convergence)
  • Received : 2024.06.21
  • Accepted : 2024.06.30
  • Published : 2024.06.30
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Abstract

Robotics is a convergence technology with significant ripple effects across various industries, including manufacturing and services. Its importance has been increasingly underscored by advancements in artificial intelligence. As a crucial industry for addressing the challenges posed by a declining and aging production workforce and for enhancing manufacturing competitiveness, the training of robotics experts is now critically important. This paper examines the case of the Robot Job Innovation Center in Gumi City and proposes a strategy for training robotics experts and specialists in robot/AI-based signal processing. A core curriculum was carefully selected and implemented in actual educational settings, with key components necessary for developing a comprehensive educational framework detailed. The convergence of AI-based data signal processing and robotics represents a significant technological advancement poised to impact a wide array of industries. By proposing the comprehensive educational framework outlined in this paper, it is anticipated that related organizations will be able to effectively utilize these foundational elements to train experts in the field.

로봇은 제조와 서비스 분야 등 다양한 산업과 융합하고 전후방 산업에 미치는 파급효과가 큰 융합기술로 최근에는 인공지능(AI) 기술 발달과 함께 중요성이 더욱 강조되고 있다. 특히, 생산인구 감소와 고령화 해결, 제조경쟁력 강화를 위한 핵심 산업으로써 로봇 전문인력양성은 매우 중요한 상황에 직면했다. 본 논문은 구미에 위치한 로봇직업혁신센터의 사례를 분석하여 로봇 전문인력과 로봇·AI 기반 신호처리 전문가 양성 방안을 제시하였고, 핵심 커리큘럼 선정을 통해 실제 교육에 적용하고 교육 프레임워크 개발에 필요한 핵심 사항을 구체적으로 제시하였다. AI 기반 데이터 신호 처리와 로봇의 융합은 다양한 산업에 영향을 미치는 중요한 기술 발전으로 볼 수 있으며 본 논문에서 제안된 것과 같은 포괄적인 교육 프레임워크를 제안함으로써 관련 기관은 전문가를 효과적으로 양성하는데 기초 활용에 도움이 될 것으로 기대된다.

Keywords

Acknowledgement

본 논문은 2024년 부산광역시 시장창출형 지능형 로봇 활용 및 확산 사업의 지원을 받아 수행된 것임

References

  1. J. W. Hyun, C. H. Kim, H. B. Gil, "Intelligent robot and generative AI trend analysis and implications", Tecjnology Policy for Mechanical Engineering, no. 114, Jan. 2024.
  2. World Economic Forum, "The Future of Jobs Report", 2023
  3. Brookings Institution, "The Impact of Automation on Employment", 2021.
  4. "Artificial Intelligence Industry Future Prediction 2035", IITP, Mar. 2022.
  5. KIRIA, "Survey on the current status of the robot industry as of 2022:, Dec. 2023.
  6. International Federation of Robotics (IFR), "World Robotics Report", 2023.
  7. "Status of robot industry and manpower training plan:, KEA Issue Repot, no. 2023-19, Oct. 2023.
  8. J. W. Sohn, H. S. Yun, W. S. Lim, "Study on Obstacle Avoidance Algorithm of Autonomous Mobile Robots Using Infrared Sensor and Camera", JISPS vol. 24, no. 4, pp. 192-198 April 2023.
  9. Y. D. Lee, "Development of Cloud based Data Collection and Analysis for Manufacturing", JISPS vol. 23, no. 4, pp. 216-221 April 2022.
  10. M. S. Park, "A Study on the Development of Robot Education Contents for University Convergence Education", Journal of Culture Industry, vol.21, no. 4, Dec. 2021, pp. 183~189.