DOI QR코드

DOI QR Code

A Study on Intelligent Control of Mobile Robot for Human-Robot Cooperative Operation in Manufacturing Process

인간-로봇 상호협력작업을 위한 모바일로봇의 지능제어에 관한 연구

  • Received : 2018.11.02
  • Accepted : 2019.03.08
  • Published : 2019.03.31

Abstract

This study proposed a new technique to control of mobile robot based on voice command for (Human-Robot Cooperative operation in manufacturing precess). High performance voice recognition and control system was designed In this paper for smart factory. robust voice recognition is essential for a robot to communicate with people. One of the main problems with voice recognition robots is that robots inevitably effects real environment including with noises. The noise is captured with strong power by the microphones, because the noise sources are closed to the microphones. The signal-to-noise ratio of input voice becomes quite low. However, it is possible to estimate the noise by using information on the robot's own motions and postures, because a type of motion/gesture produces almost the same pattern of noise every time it is performed. In this paper, we describe an robust voice recognition system which can robustly recognize voice by adults and students in noisy environments. It is illustrated by experiments the voice recognition performance of mobile robot placed in a real noisy environment.

Keywords

SOOOB6_2019_v22n2_137_f0001.png 이미지

Fig. 1 The coordinate frame of mobile with 2 wheel

SOOOB6_2019_v22n2_137_f0002.png 이미지

Fig. 2 Voice recognition model

SOOOB6_2019_v22n2_137_f0003.png 이미지

Fig. 3 The block diagram of proposed trajectory controller structure for mobile robot

SOOOB6_2019_v22n2_137_f0004.png 이미지

Fig. 4 Remote control schematic diagram of voice recognition robot control system

SOOOB6_2019_v22n2_137_f0005.png 이미지

Fig. 5 Voice recognition word registration program

SOOOB6_2019_v22n2_137_f0006.png 이미지

Fig. 6 Performance experiment scene of voice recognition for mobile robot

SOOOB6_2019_v22n2_137_f0007.png 이미지

Fig. 7 Voice recognition experiment result(I)

SOOOB6_2019_v22n2_137_f0008.png 이미지

Fig. 8 Voice recognition experiment result)(II)

SOOOB6_2019_v22n2_137_f0009.png 이미지

Fig. 9 Voice recognition experiment result)(III)

Table 1. Voice recognition words

SOOOB6_2019_v22n2_137_t0001.png 이미지

References

  1. 이윤근, 박준, 김상훈, "음성인터페이스 기술," 전자통신 동향분석, 제 20권 4호, pp. 38-48, 2005. 8.
  2. Roe D. B. and Wilpon. J. G., "Whither Speech Recognition : The Next 25 Years," IEEE Communications Magazine, Vol. 31, No. 11, pp. 54-62, November, 1993. https://doi.org/10.1109/35.256880
  3. X. D. Huang, Y. Ariki, and M.A. Jack, hidden markov models for speechRecognition, Edinburgh University Press, Edinburgh, England, 1990.
  4. J. J. Lee, H. J. Kim, "자율주행기술" Journal of the KSME, pp39-44, Nov, 2007.
  5. Siverman H. F., and Morgan D.P, "The application of dynamic programming to connected.speech' recognition," IEEE Transactions on Acoustics,Speech, and Signal Processing Magazine, Vol. 7, pp. 6-25, July 1990.
  6. Lippmann R. P., "An Introductionto computing with neural nets," IEEE Transactions on Acoustics, Speech, and Signal processing Magazine, Vol. 4, pp. 4-22, Apr. 1987.
  7. 진태석, "천장 전등패널 기반로봇의 주행오차 보정과 제어",한국산업융합학회 논문집 제20권 2호 pp.89-95, 2017. https://doi.org/10.21289/KSIC.2017.20.2.089
  8. 류헤연, 정기민, 김만호, 이경창 "전기자동차용 Brake-By-Wire 시스템을 위한 전자식 브레이크 구현",한국산업융합학회 논문집 제20권 4호 pp.313-323, 2017. https://doi.org/10.21289/KSIC.2017.20.4.313
  9. 김진광, "생산자동화 시스템을 위한 산업용 로봇의 운전특성 시뮬레이션에 관한 연구",한국산업융합학회 논문집 제20권 5호,pp405-410, 2017. https://doi.org/10.21289/KSIC.2017.20.5.405
  10. 장성철, 권민수, "제어보드와 파워보드에 관한 발열성능 평가", 한국산업융합학회 논문집 제20권 2호,pp187-194, 2017. https://doi.org/10.21289/KSIC.2017.20.2.187
  11. 김한성, "위치-힘 동시제어를 위한 FT측정 기능을 갖는 6축 순응기구 설계", 한국산업융합학회 논문집 제21권 2호, pp63-70, 2018. https://doi.org/10.21289/KSIC.2018.21.2.63
  12. 진태석, "퍼지추론기반센서융합 이동로봇의 장애물 회피 주행기법",한국산업융합학회 논문집 제21권 2호,pp95-101, 2018. https://doi.org/10.21289/KSIC.2018.21.2.95