A pragmatic global vision system for educational robotics

John Anderson*, Jacky Baltes

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationRobots and Robot Venues
Subtitle of host publicationResources for AI Education - Papers from the 2007 AAAI Spring Symposium, Technical Report
Number of pages6
Publication statusPublished - 2007
Externally publishedYes
Event2007 AAAI Spring Symposium - Stanford, CA, United States
Duration: 2007 Mar 262007 Mar 28

Publication series

NameAAAI Spring Symposium - Technical Report


Other2007 AAAI Spring Symposium
Country/TerritoryUnited States
CityStanford, CA

ASJC Scopus subject areas

  • Engineering(all)


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