Search
2017 Volume 32
Article Contents
ORIGINAL RESEARCH   Open Access    

Introduction to the special issue on humanoid multi-event robot athletes

More Information
  • 加载中
  • Cite this article

    Jacky Baltes. 2017. Introduction to the special issue on humanoid multi-event robot athletes. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000054
    Jacky Baltes. 2017. Introduction to the special issue on humanoid multi-event robot athletes. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000054

Article Metrics

Article views(18) PDF downloads(11)

Other Articles By Authors

ORIGINAL RESEARCH   Open Access    

Introduction to the special issue on humanoid multi-event robot athletes

    • The author would like to thank the reviewers for their diligent work and insightful comments which greatly improved the quality of the final product. As associate editor and as researcher, the author realizes how difficult it is nowadays to receive insightful and constructive reviews and the author really appreciates all the hard work of anonymous reviewers.

    • This research is supported by a grant to Jacky Baltes from the “Center of Learning Technology for Chinese” and the “Aim for the Top University Project” of the National Taiwan Normal University (NTNU) in Taipei, Taiwan. The research is also supported through a grant to Jacky Baltes by the Ministry of Education, Taiwan, and Ministry of Science and Technology, Taiwan, under Grants no. MOST 105-2218-E-003-001-MY2.

    • © Cambridge University Press, 2017 2017Cambridge University Press
  • About this article
    Cite this article
    Jacky Baltes. 2017. Introduction to the special issue on humanoid multi-event robot athletes. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000054
    Jacky Baltes. 2017. Introduction to the special issue on humanoid multi-event robot athletes. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000054
  • Catalog

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return