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Sway Motion Cancellation Scheme Using a RGB-D Camera-Based Vision System for Humanoid Robots

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Robot Intelligence Technology and Applications 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 208))

Abstract

When a humanoid robot walks dynamically, it generates sway motion which is reflected as an oscillative sine wave-like pattern at its center-of-mass (CoM) trajectory. In order to cancel out such motion from the coordinates of detected obstacles, this paper proposes a sway motion cancellation scheme incorporated with walking pattern generator of humanoid robots along with a RGB-D camera-based vision system. After the preprocessing for the depth information from the RGB-D camera using attitude reference system (ARS)-generated roll and pitch angles of the vision module, the coordinates of detected obstacles are estimated using the ground filtered 3D points. Then, the sway motion cancellation scheme is applied to the coordinates of detected obstacles not only for the lateral direction of the robot but also for the sagittal one by referring the CoM trajectory collected from the walking pattern generator. The proposed sway motion cancellation scheme and the RGB-D camera-based vision system are verified by experiments using a small-sized humanoid robot, HanSaRam-IX (HSR-IX).

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References

  1. Sakagami, Y., Watanabe, R., Aoyama, C., Matsunaga, S., Higaki, N., Fujimura, K.: The intelligent ASIMO: system overview and integration. Paper presented at IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2478–2483 (September 2002)

    Google Scholar 

  2. Akachi, K., Kaneko, K., Kanehira, N., Ota, S., Miyamori, G., Hirata, M., Kajita, S., Kanehiro, F.: Development of humanoid robot HRP-3P. Paper presented at IEEE-RAS International Conference on Humanoid Robots, Tsukuba, Japan, pp. 50–55 (December 2005)

    Google Scholar 

  3. Yoo, J.-K., Lee, B.-J., Kim, J.-H.: Recent progress and development of the humanoid robot HanSaRam. Robot. and Auton. Syst. 57(10), 973–981 (2009), doi:10.1016/j.robot.2009.07.012

    Article  Google Scholar 

  4. Lee, B.-J., Stonier, D., Kim, Y.-D., Yoo, J.-K., Kim, J.-H.: Modifiable walking pattern of a humanoid robot by using allowable ZMP variation. IEEE Trans. Robot. 24(4), 917–925 (2008), doi:10.1109/TRO.2008.926859

    Article  Google Scholar 

  5. Gutmann, J.-S., Fukuchi, M., Fujita, M.: 3D perception and environment map generation for humanoid robot navigation. J. Robot. Res. 27(10), 1117–1134 (2008), doi:10.1177/0278364908096316

    Article  Google Scholar 

  6. Okada, K., Kojima, M., Sagawa, Y., Ichino, T., Sato, K., Inaba, M.: Vision based behavior verification system of humanoid robot for daily environment tasks. Paper presented at IEEE/RAS Int. Conf. on Humanoid Robot., pp. 7–12 (December 2006), doi:10.1109/ICHR.2006.321356

    Google Scholar 

  7. Asfour, T., Azad, P., Vahrenkamp, N., Regenstein, K., Bierbaum, A., Welke, K., Schöder, J., Dillmann, R.: Toward humanoid manipulation in human-centred environments. Robot. Auton. Syst. 56(1), 54–65 (2008), doi:10.1016/j.robot.2007.09.013

    Article  Google Scholar 

  8. Hale, J.G., Pollick, F.E.: ‘Sticky hands’: learning and generalization for cooperative physical interactions with a humanoid robot. IEEE Trans. Syst. Man Cybern. C 35(4), 512–521 (2005), doi:10.1109/TSMCC.2004.840063

    Article  Google Scholar 

  9. Seara, J.F., Schmidt, G.: Intelligent gaze control for vision-guided humanoid walking: methodological aspects. Robot. Auton. Syst. 48(4), 231–248 (2004), doi:10.1016/j.robot.2004.07.003

    Article  Google Scholar 

  10. Yoo, J.-K., Kim, J.-H.: Navigation framework for humanoid robots integrating gaze control and modified-univector field method to avoid dynamic obstacles. Paper presented at IEEE/RSJ Int. Conf. Intell. Robot. and Syst., Taipei, Taiwan, pp. 1683–1689 (October 2010), doi: 10.1109/IROS.2010.5650381

    Google Scholar 

  11. Yoo, J.-K., Kim, J.-H.: Fuzzy integra-based gaze control architecture incorporated with modified univector field navigation for humanoid robots. IEEE Trans. Syst. Man Cybern. B Cybern. 42(1), 125–139 (2012), doi:10.1109/TSMCB.2011.2162234

    Article  MathSciNet  Google Scholar 

  12. Dune, C., Herdt, A., Stasse, O., Wieber, P.-B., Yokoi, K., Yoshida, E.: Cancelling the sway motion of dynamic walking in visual servoing. Paper presented at IEEE/RSJ Int. Conf. Intell. Robot. Syst., Taipei, Taiwan, pp. 3175–3180 (October 2010), doi:10.1109/IROS.2010.5649126

    Google Scholar 

  13. Dune, C., Herdt, A., Marchand, E., Stasse, O., Wieber, P.-B., Yoshida, E.: Vision based control for humanoid robots. Paper presented at IROS Workshop on Vis. Control of Mob. Robot., pp. 19–26 (2011)

    Google Scholar 

  14. Hong, Y.-D., Lee, B.-J., Kim, J.-H.: Command state-based modifiable walking pattern generation on an inclined plane in pitch and roll directions for humanoid robots. IEEE/ASME Trans. Mech. 16(4), 783–789 (2011), doi:10.1109/TMECH.2010.2089530

    Article  Google Scholar 

  15. Kinect description (2011), http://en.wikipedia.org/wiki/Kinect (accessed October 15, 2011)

  16. Disassemble process of Kinect (2011), http://www.ifixit.com/Teardown/Microsoft-Kinect-Teardown/4066/1 (accessed October 15, 2011)

  17. MyArs-USB of With Robot (2011), http://www.withrobot.com/entry/myARS-USB (accessed October 15, 2011)

  18. OpenNI official web site (2011), http://75.98.78.94/default.aspx (accessed October 15, 2011)

  19. OpenCV official web site (2011), http://opencv.willowgarage.com (accessed October 17, 2011)

  20. Burrus, N.: Kinect calibration (2012), http://nicolas.burrus.name/index.php/Research/Kinect (accessed July 17, 2012)

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Yoo, JK., Han, SB., Kim, JH. (2013). Sway Motion Cancellation Scheme Using a RGB-D Camera-Based Vision System for Humanoid Robots. In: Kim, JH., Matson, E., Myung, H., Xu, P. (eds) Robot Intelligence Technology and Applications 2012. Advances in Intelligent Systems and Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37374-9_26

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  • DOI: https://doi.org/10.1007/978-3-642-37374-9_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37373-2

  • Online ISBN: 978-3-642-37374-9

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