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RoboCup 2015 Humanoid AdultSize League Winner

  • Seung-Joon YiEmail author
  • Stephen McGill
  • Heejin Jeong
  • Jinwook Huh
  • Marcell Missura
  • Hak Yi
  • Min Sung Ahn
  • Sanghyun Cho
  • Kevin Liu
  • Dennis Hong
  • Daniel D. Lee
Conference paper
  • 921 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9513)

Abstract

Major rule changes for the RoboCup Humanoid League in 2015 pose significant vision and locomotion challenges for disambiguating similarly colored objects and navigating soft terrain. These significant changes highlight the need for applying general purpose humanoid robotics approaches that can handle abrupt environment modifications, and we utilize the general purpose THOR (Tactical Hazardous Operations Robot) series of robot from the recent DARPA Robotics Challenge (DRC). Specific techniques for vision, kicking and autonomy complement software developed for robust deployments in the DRC. In this paper, we present these soccer playing techniques, which were validated in the Humanoid AdultSize league in Hefei.

Notes

Acknowledgments

We acknowledge the Defense Advanced Research Projects Agency (DARPA) through grant N65236-12-1-1002. We also acknowledge the support of the ONR SAFFIR program under contract N00014-11-1-0074.

References

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Copyright information

© Springer International Publishing Switzerland 2015

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  • Seung-Joon Yi
    • 1
    Email author
  • Stephen McGill
    • 1
  • Heejin Jeong
    • 1
  • Jinwook Huh
    • 1
  • Marcell Missura
    • 1
  • Hak Yi
    • 2
  • Min Sung Ahn
    • 2
  • Sanghyun Cho
    • 2
  • Kevin Liu
    • 2
  • Dennis Hong
    • 2
  • Daniel D. Lee
    • 1
  1. 1.GRASP Lab, Engineering and Applied ScienceUniversity of PennsylvaniaPhiladelphiaUSA
  2. 2.University of CaliforniaLos AngelesUSA

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