Advertisement

Team Water: The Champion of the RoboCup Middle Size League Competition 2013

  • Song Chen
  • Zhe Zhu
  • Ye Tian
  • Charles Lynch
  • Di Zhu
  • Ye Lv
  • Xinxin Xu
  • Wanjie Zhang
  • Liang Zhao
  • Xiaoming Liu
  • Miao Wang
  • Peng Zhao
  • Chenyu Wang
  • Wei Liu
  • Feichan Yang
  • Binbin Li
  • Jieming Zhou
  • Zongyi Zhang
  • Xueyan Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8371)

Abstract

This paper addresses the problems encountered and the advancements made to the robots of Team Water, the champion of the RoboCup Middle Size League Competition in 2013. This paper describes the robot from both the hardware point of view and the software. The hardware description includes details of the design of an omnidirectional wheel and an improved ball handling device. The software part focuses on the improvements on the masking function and the localization algorithm.

Keywords

Servo Motor Onboard Computer Match Field Mask Function Image Processing Module 
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.

References

  1. 1.
    Zhang, W., Zhang, B., Zhu, M.: Intelligent Soccer Robot System. Tsinghua University Press, China (2010)Google Scholar
  2. 2.
    Ribeiro, F., Moutinho, I., Silva, P., Fraga, C., Pereira, N.: Controlling Omni-directional Wheels of a MSL RoboCup Autonomous Mobile RobotGoogle Scholar
  3. 3.
    de Best, J., van de Molengraft, R.: An Active Ball Handling Mechanism for RoboCup. In: 2008 10th Intl. Conf. on Control, Automation, Robotics and Vision, Hanoi, Vietnam, pp. 17–20 (December 2008)Google Scholar
  4. 4.
    Bradski, G.R., Kaehler, A.: Learning OpenCV: Computer Vision with the OpenCV Library. Reilly Media, Inc., USA (2008)Google Scholar
  5. 5.
    Lauer, M., Lange, S., Riedmiller, M.: Calculating the Perfect Match: An Efficient and Accurate Approach for Robot Self-Localisation. In: Bredenfeld, A., Jacoff, A., Noda, I., Takahashi, Y. (eds.) RoboCup 2005. LNCS (LNAI), vol. 4020, pp. 142–153. Springer, Heidelberg (2006)Google Scholar
  6. 6.
    Low, K.-L.: Linear Least-Squares Optimization for Point-to-Plane ICP Surface RegistrationGoogle Scholar
  7. 7.
    MPU-6000 and MPU-6050 Product Specification Revision 3.2. InvenSense Inc. (November 16, 2011)Google Scholar
  8. 8.
    Haykin, S.O.: Neural Networks and Learning Machines, 3rd edn. China Machine Press (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Song Chen
    • 1
  • Zhe Zhu
    • 1
  • Ye Tian
    • 1
  • Charles Lynch
    • 1
  • Di Zhu
    • 1
  • Ye Lv
    • 1
  • Xinxin Xu
    • 1
  • Wanjie Zhang
    • 1
  • Liang Zhao
    • 1
  • Xiaoming Liu
    • 1
  • Miao Wang
    • 1
  • Peng Zhao
    • 1
  • Chenyu Wang
    • 1
  • Wei Liu
    • 1
  • Feichan Yang
    • 1
  • Binbin Li
    • 1
  • Jieming Zhou
    • 1
  • Zongyi Zhang
    • 1
  • Xueyan Wang
    • 1
  1. 1.Beijing Information Science & Technology UniversityChina

Personalised recommendations