로봇학회논문지 (The Journal of Korea Robotics Society)

  • 제16권3호
  • /
  • Pages.270-275
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  • 2021
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  • 1975-6291(pISSN)
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  • 2287-3961(eISSN)
한국로봇학회 (Korea Robotics Society)
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음성인식과 딥러닝 기반 객체 인식 기술이 접목된 모바일 매니퓰레이터 통합 시스템

Integrated System of Mobile Manipulator with Speech Recognition and Deep Learning-based Object Detection

  • Jang, Dongyeol (Korea University of Technology and Education) ;
  • Yoo, Seungryeol (Mechanical Engineering, Korea University of Technology and Education)
  • 투고 : 2021.04.05
  • 심사 : 2021.07.08
  • 발행 : 2021.08.31
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초록

Most of the initial forms of cooperative robots were intended to repeat simple tasks in a given space. So, they showed no significant difference from industrial robots. However, research for improving worker's productivity and supplementing human's limited working hours is expanding. Also, there have been active attempts to use it as a service robot by applying AI technology. In line with these social changes, we produced a mobile manipulator that can improve the worker's efficiency and completely replace one person. First, we combined cooperative robot with mobile robot. Second, we applied speech recognition technology and deep learning based object detection. Finally, we integrated all the systems by ROS (robot operating system). This system can communicate with workers by voice and drive autonomously and perform the Pick & Place task.

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과제정보

This project was funded by Korea Robotics Society (KROS), and is currently supported by the publication grant; This paper was supported by Education and Research promotion program of KOREATECH in 2021.

참고문헌

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