A pragmatic global vision system for educational robotics

John Anderson*, Jacky Baltes

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

10 引文 斯高帕斯(Scopus)

摘要

This paper advocates the use of global vision as a tool for increasing the effectiveness of robotics education, and describes the design and functionality of advanced global vision systems used in our own programs. Our experiences with using global vision as a basis for teaching robotics and AI have led us to use this as a standard method for teaching undergraduates. Our recent vision systems (DORAEMON and ERGO) have consistently been improved to perform accurately and robustly over a wide range of applications. DORAEMON uses a sophisticated camera calibration method and colour model to remove the need for an overhead view of the world. ERGO minimized the use of colour information to provide more robust object recognition under varying lighting scenarios. Most recently, these video servers have been used by undergraduates to develop autonomous robots for a mixed virtual/physical world.

原文英語
主出版物標題Robots and Robot Venues
主出版物子標題Resources for AI Education - Papers from the 2007 AAAI Spring Symposium, Technical Report
頁面1-6
頁數6
出版狀態已發佈 - 2007
對外發佈
事件2007 AAAI Spring Symposium - Stanford, CA, 美国
持續時間: 2007 3月 262007 3月 28

出版系列

名字AAAI Spring Symposium - Technical Report
SS-07-09

其他

其他2007 AAAI Spring Symposium
國家/地區美国
城市Stanford, CA
期間2007/03/262007/03/28

ASJC Scopus subject areas

  • 工程 (全部)

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