Intercepting a falling object: Digital video robot

Keshav Mundhra, Anthony Suluh, Thomas Sugar, Michael McBeath

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

8 Scopus citations

Abstract

Human based algorithms to catch fly balls have been research and studied. In this paper, the validity of the human models are tested by catching balls that are dropped vertically downward. The regular OAC (Optical Acceleration Cancellation) and the inverted OAC models are simulated first, and then tested experimentally with a mobile robot. The simulation and the experimental results show that both methods are able to intercept the dropped ball, but the initial and final motions are different. A new digital image processing program, DVRobot, was written to process digital images very quickly.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
Pages2060-2065
Number of pages6
Volume2
StatePublished - 2002
Event2002 IEEE International Conference on Robotics and Automation - Washington, DC, United States
Duration: May 11 2002May 15 2002

Other

Other2002 IEEE International Conference on Robotics and Automation
CountryUnited States
CityWashington, DC
Period5/11/025/15/02

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering

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  • Cite this

    Mundhra, K., Suluh, A., Sugar, T., & McBeath, M. (2002). Intercepting a falling object: Digital video robot. In Proceedings - IEEE International Conference on Robotics and Automation (Vol. 2, pp. 2060-2065)