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RoboCup 2013 Humanoid Kidsize League Winner

  • Daniel D. Lee
  • Seung-Joon Yi
  • Stephen G. McGill
  • Yida Zhang
  • Larry Vadakedathu
  • Samarth Brahmbhatt
  • Richa Agrawal
  • Vibhavari Dasagi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8371)

Abstract

The RoboCup Humanoid Kidsize League has rocketed into an exceptionally competitive league, supported by recent introduction of the open source hardware and software platforms. Teams must improve substantially their robot teams every year to stay competitive. In addition to the important skills of walking speed, kick stability, and visual acuity, the 2013 season introduced rule changes to test robot intelligence – and team adaptability. In this paper, Team DARwIn, the winning team of the Humanoid Kidsize League, presents its crucial improvements of its robotic platform and soccer system to mitigate risks from same colored goal posts, substitutions and noise in goalkeeper ball estimates.

Keywords

Humanoid Robot Goal Post Robot Team Ball Detection Winning Team 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    McGill, S.G., Brindza, J., Yi, S.-J., Lee, D.D.: Unified humanoid robotics software platform. In: The 5th Workshop on Humanoid Soccer Robots (2010)Google Scholar
  2. 2.
    Yi, S.-J., Hong, D., Lee, D.D.: A hybrid walk controller for resource-constrained humanoid robots. In: 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids) (October 2013)Google Scholar
  3. 3.
    Seekircher, A., Abeyruwan, S., Visser, U.: Accurate ball tracking with extended kalman filters as a prerequisite for a high-level behavior with reinforcement learning. In: The 6th Workshop on Humanoid Soccer Robots (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Daniel D. Lee
    • 1
  • Seung-Joon Yi
    • 1
  • Stephen G. McGill
    • 1
  • Yida Zhang
    • 1
  • Larry Vadakedathu
    • 1
  • Samarth Brahmbhatt
    • 1
  • Richa Agrawal
    • 1
  • Vibhavari Dasagi
    • 1
  1. 1.GRASP Lab, Engineering and Applied ScienceUniv. of PennsylvaniaUSA

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