Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Development of a Personal Riding Robot Controlled by a Smartphone Based on Android OS

안드로이드 스마트폰 제어기반의 개인용 탑승로봇 구현

  • Received : 2013.04.05
  • Accepted : 2013.05.14
  • Published : 2013.07.01
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Abstract

In this paper, a small, lightweight smartphone-controlled riding robot is developed. Also, in this study, a smartphone with a jog shuttle mode for consideration of user convenience is proposed to make a small, lightweight riding robot. As well, a compass sensor is used to compensate for the mechanical characteristics of motors mounted on the riding robot. The riding robot is controlled by the interface of a drag-based jog shuttle in the smartphone, instead of a mechanical controller. For a personal riding robot, if the smartphone is used as a controller instead of a handle or a pole, it reduces its size, weight, and cost to a great extent. Thus, the riding robot can be used in indoor spaces such as offices for moving or a train or bus station and an airport for scouting, or hospital for disabilities. Experimental results show that the riding robot is easily and conveniently controlled by the proposed smartphone interface based on Android.

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References

  1. N. Kubota and W. Sato, "Robot design support system based on interactive evolutionary computation using boltzmann selection," 2010 IEEE Congress on Evolutionary Computation (CEC), pp. 1-8, 2010.
  2. B. R. Geltz, J. A. Berlier, and J. M. McCollum, "Using the iPhone and iPod Touch for remote sensor control and data acquisition," Proc. of the 2010 IEEE Southeast Conference, pp. 9-12, 2010.
  3. L. YeMin and Z. Li, "Research and application of the EAN-13 barcode recognition on iphone," 2010 International Conference on Future Information Technology and Management Engineering (FITME), vol. 2, pp. 92-95, 2010.
  4. S. Chemlal, S. Colberg, M. Satin-Smith, E. Gyuricsko, T. Hubbard, M. W. Scerbo, and F. D. McKenzie, "Blood glucose individualized prediction for type 2 diabetes using iPhone application," 37th Annual Northeast Bioengineering Conf. (NEBEC), pp. 1-2, 2011.
  5. H. K. Y. Chan, Z. Huiru, W. Haiying, R. Gawley, Y. Mingjing, and R. Sterritt, "Feasibility study on iPhone accelerometer for gait detection," 5th International Conf. on Pervasive Computing Technologies for Healthcare (Pervas-iveHealth), pp. 184-187, 2011.
  6. F. Chandra, N. Kok Yew, and K. Boon How, "Development of a convenient wireless control of an autonomous vehicle using apple iOS SDK," TENCON 2011 - 2011 IEEE Region 10 Conference, pp. 1025-1029, 2011.
  7. H. Jung, Y. Kim, and D. H. Kim, "Communication quality analysis for remote control of a differential drive robot based on iphone interface," Communication in Computer and Information Science (Indexed by SCOPUS), vol. 206, pp. 278-285, 2011. https://doi.org/10.1007/978-3-642-24106-2_37
  8. H. Y. Jung, C. S. Lee, Y. H. Seo, and T. K. Yang, "Touch-based moving trajectory generation and data acquisition of a mobile robot using a smart phone," Journal of Korea lasbiburte of Information & Telecome (in Korean), vol. 10, no. 3, pp. 98-102, 2011.
  9. J. J. Park, G. S. Choi, C. H. Chun, I. K. Park, and J. J. Kang, "Remote navigation and monitoring system for mobile robot using smart phone," Journal of the institute of Internet, Broadcasting and Communication (in Korean), vol. 11, no. 6, pp. 207-214, 2011.
  10. Y. H. Jeon and H. Ahn, "Smart-phone based interface for mobile robot control," Conference of the Institute of Electronics Engineers of Korea (in Korean), vol. 33, no. 1, pp. 171-181, 2010.
  11. J. Borenstein and Y. Koren, "Motion control analysis of a mobile robot," ASME Journal of Dynamic Systems Measurement and Control, vol. 109, pp. 73-79, 1987. https://doi.org/10.1115/1.3143840
  12. J. Borenstein and L. Feng, "Gyrodometry: A new method for combining data from gyros and odometry in mobile robots," Proc. of the International Conference on Robotics and Automation, vol. 1, pp. 423-428, 1996.
  13. S. Lee and J. B. Song, "Robust mobile robot localization using optical flow sensors and encoders," Proc. of International Conference on Robotics and Automation, vol. 1, pp. 1039-1044, 2004.
  14. J. Y. Choi and S. G. Kim, "Study on the localization improvement of the dead reckoning using the INS calibrated by the fusion sensor network information," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 18, no. 8, pp. 744-749, 2012. https://doi.org/10.5302/J.ICROS.2012.18.8.744
  15. S. H. Bae and B. K. Kim, "An efficient outdoor localization method using multi-sensor fusion for car-like robots," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 17, no. 10, pp. 995-1005, 2011. https://doi.org/10.5302/J.ICROS.2011.17.10.995
  16. http://en.wikipedia.org/wiki/Segway_PT
  17. Y. S. Chang, K. Kim, and N. H. Sung, Step by Step Android Application Development (in Korean), INFINITYBOOKS, 2011.
  18. http://developer.android.com/training/index.html
  19. S. Chemlal, S. Colberg, M. Satin-Smith, E. Gyuricsko, T. Hubbard, M. W. Scerbo, F. D. R. McKenzie, B. J. Pierre, and O. Pierre-Yves, "A comparison of three interfaces using handheld devices to intuitively drive and show objects to a social robot: the impact of underlying metaphors," The 18th IEEE International Symposium on Robot and Human Interactive Communication, pp. 1066-1072, 2009.
  20. D. H. Kim, "Self-organization of unicycle swarm robots based on a modified particle swarm framework," International Journal of Control, Automation and Systems, vol. 8, no. 3, pp. 622-629, Jun. 2010. https://doi.org/10.1007/s12555-010-0315-4

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