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Vision Based Tracker for Dart-Catching Robot

Publiceringsår: 2009
Språk: Engelska
Sidor: 883-888
Dokumenttyp: Konferensbidrag


This paper describes how high-speed computer vision can be used in a motion control application. The specific application investigated is a dart catching robot. Computer vision is used to detect a flying dart and a filtering algorithm predicts its future trajectory. This will give data to a robot controller allowing it to catch the dart. The performance of the implemented components indicates that the dart catching application can be made to work well. Conclusions are also made about what features of the system are critical for performance.



  • Mathematics
  • Computer Vision and Robotics (Autonomous Systems)
  • Control Engineering
  • Dart catching
  • computer vision
  • camera calibration
  • state estimation


9th IFAC International Symposium on Robot Control
Gifu, Japan
  • LCCC

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