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Sound-Source Tracking and Obstacle Avoidance System for the Mobile Robot

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Progress in Optomechatronic Technologies

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 306))

Abstract

In this paper, the study for the obstacle avoidance of the sound-source tracking mobile robot is introduced. By using the cross-correlation, it is possible to estimate the time difference for sound waves reaching more than two sound-source obtaining devices. Also, through the sound-source obtaining devices and carrying out the geometric interpretation, the location of each sound-source can be found. Based on the suggested application of the motion algorithm, when the mobile robot is in motion, it creates the virtual repulsive force with any obstacle, while applying the virtual attraction force with the reference point in order to avoid obstacles more smoothly and effectively.

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References

  1. Kim Y-E, Hong S-A, Chung J-G (2009) Efficient implementation of IFFT and FFT for PHAT weighting speech source localization system. Inst Electron Eng Korea Signal Process 46(1):71–78 (WN.325)

    Google Scholar 

  2. Hu J-S, Yang C-H, Wang C-K (2008) Sound source localization by microphone array on a mobile robot using Eigen-structure based generalized cross correlation. In: IEEE international conference on advanced robotics and its social impacts, pp 1–6

    Google Scholar 

  3. Woo-han Y, Cheon-in O, Kyu-Dae B, Su-young J (2006) The impulse sound source tracking using Kalman filter and the cross-correlation. In: SICE-ICASE international joint conference, pp 317–320

    Google Scholar 

  4. Kwon B, Park Y, Park Y (2009) Multiple sound sources localization using the spatially mapped GCC functions. In: ICROS-SICE international joint conference, pp 1773–1776

    Google Scholar 

  5. Hao M, Lin Z, Hongmei H, Zhenyang W (2007) A novel sound localization method based on head related transfer function. In: The eighth international conference on electronic measurement and instruments, pp 4_428–4_432

    Google Scholar 

  6. Koch L, Adve R, Francis B (2007) Optimal beamforming with mobile robots. In: Conference on signals, systems and computers, pp 1652–1655

    Google Scholar 

  7. Huang J, Ohnishi N, Sugie N (1997) Building ears for robots: sound localization and separation. Artif Life Robot 1(4):157–163

    Article  Google Scholar 

  8. Golfarelli M, Maio D, Rizzi S (2001) Correction of dead-reckoning errors in map building for mobile robots. IEEE Trans Robot Autom 17(1):37–47

    Article  Google Scholar 

  9. Tsai C-C (1998) A localization system of a mobile robot by fusing dead-reckoning and ultrasonic measurements. IEEE Trans Instrum Meas 47(5)

    Google Scholar 

  10. Yi S-Y, Lee Suk-han, Hong Yeh-sun (1999) A real-time collision-free trajectory planning and control for a car like mobile robot. J Control Autom Syst Eng 5(1):105–114

    Google Scholar 

  11. Ge SS, Cui YJ (2002) Dynamic motion planning for mobile robots using potential field method. Auton Robots 13(3):207–222

    Article  MATH  Google Scholar 

  12. Kitagawa L, Kobayashi T, Beppu T, Terashima K (2001) Semi-autonomous obstacle avoidance of omnidirectional wheelchair by joystick impedance control. In: Proceedings of IEEE/RSJ international conference on intelligent robots and systems, 200, vol 4, pp 2148–2153

    Google Scholar 

  13. Jin T-S (2009) Obstacle avoidance of mobile robot with virtual impedance. Korean Inst Intell Syst 19(4):451–456

    Article  Google Scholar 

Download references

Acknowledgements

“This research was supported by the MOTIE (The Ministry of Trade, Industry and Energy), Korea, under the Human Resources Development Program for Special Environment Navigation/Localization National Robotics Research Center support program supervised by the NIPA (National IT Industry Promotion Agency).” (H1502-13-1001). “This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean Government (MSIP) (NRF-2013R1A1A2021174)”.

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Correspondence to Jang-Myung Lee .

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© 2014 Springer International Publishing Switzerland

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Hwang, BY., Park, SH., Han, JH., Kim, MG., Lee, JM. (2014). Sound-Source Tracking and Obstacle Avoidance System for the Mobile Robot. In: Tutsch, R., Cho, YJ., Wang, WC., Cho, H. (eds) Progress in Optomechatronic Technologies. Lecture Notes in Electrical Engineering, vol 306. Springer, Cham. https://doi.org/10.1007/978-3-319-05711-8_19

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  • DOI: https://doi.org/10.1007/978-3-319-05711-8_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05710-1

  • Online ISBN: 978-3-319-05711-8

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