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Proceedings Paper

Target specification error optimal camera configuration for vision-based robotics
Author(s): Haluk Kucuk; Gordon G. Parker; Nicholas Klymyshyn; Eric T. Baumgartner
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Paper Abstract

Applications of vision based remotely operated robotic systems range from planetary exploration to hazardous waste remediation. For space applications, where communication time- lags are large, the target selection and robot positioning tasks may be performed sequentially, differing from conventional tele-robotic maneuvers. For these point-and-move systems, the desired target must be defined in the image planes of the cameras either by an operator or through image processing software. Ambiguity of the target specification will naturally lead to end-effector positioning errors. In this paper, the target specification error covariance is shown to transform linearly to the end-effector positioning error. In addition, a methodology for target specification error optimal estimation of camera view parameters of a vision based robotic system is presented. A cost function is examined based on minimizing the end-effector error covariance matrix. Simulation and experimental results are presented.

Paper Details

Date Published: 22 September 1997
PDF: 9 pages
Proc. SPIE 3209, Sensor Fusion and Decentralized Control in Autonomous Robotic Systems, (22 September 1997); doi: 10.1117/12.287631
Show Author Affiliations
Haluk Kucuk, Michigan Technological Univ. (United States)
Gordon G. Parker, Michigan Technological Univ. (United States)
Nicholas Klymyshyn, Pacific Northwest National Lab. (United States)
Eric T. Baumgartner, Jet Propulsion Lab. (United States)


Published in SPIE Proceedings Vol. 3209:
Sensor Fusion and Decentralized Control in Autonomous Robotic Systems
Paul S. Schenker; Gerard T. McKee, Editor(s)

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