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Vision Based Tracker for Dart-Catching Robot

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Author

Summary, in English

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.

Publishing year

2009

Language

English

Pages

717-722

Publication/Series

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volume

42

Issue

16

Document type

Journal article

Publisher

IFAC Secretariat

Topic

  • Mathematics
  • Computer Vision and Robotics (Autonomous Systems)
  • Control Engineering

Keywords

  • Dart catching
  • computer vision
  • camera calibration
  • state estimation

Conference name

9th IFAC International Symposium on Robot Control

Conference date

2009-09-09

Conference place

Gifu, Japan

Status

Published

Project

  • ROSETTA
  • Robotics Lab LTH

Research group

  • LCCC

ISBN/ISSN/Other

  • ISSN: 2405-8963