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Visual predictive control architecture based on image moments for manipulator robots

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Abstract
Increasing performances of nonlinear predictive control techniques for visual servoing systems, by using image moments as visual features, is the main goal of this paper. An local model based predictor is developed and the cost function is constructed using a image moments based reference trajectory. A new type of visual predictive control architecture is designed and a simulator is developed. Simulation results for a 6 d.o.f eye-in-hand scheme are revealed.

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MLA
Copot, Cosmin, et al. “Visual Predictive Control Architecture Based on Image Moments for Manipulator Robots.” 2011 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), IEEE, 2011, pp. 963–68.
APA
Copot, C., Burlacu, A., & Lazar, C. (2011). Visual predictive control architecture based on image moments for manipulator robots. 2011 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 963–968. IEEE.
Chicago author-date
Copot, Cosmin, Adrian Burlacu, and Corneliu Lazar. 2011. “Visual Predictive Control Architecture Based on Image Moments for Manipulator Robots.” In 2011 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 963–68. IEEE.
Chicago author-date (all authors)
Copot, Cosmin, Adrian Burlacu, and Corneliu Lazar. 2011. “Visual Predictive Control Architecture Based on Image Moments for Manipulator Robots.” In 2011 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 963–968. IEEE.
Vancouver
1.
Copot C, Burlacu A, Lazar C. Visual predictive control architecture based on image moments for manipulator robots. In: 2011 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE). IEEE; 2011. p. 963–8.
IEEE
[1]
C. Copot, A. Burlacu, and C. Lazar, “Visual predictive control architecture based on image moments for manipulator robots,” in 2011 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), Gdansk, Poland, 2011, pp. 963–968.
@inproceedings{5804328,
  abstract     = {{Increasing performances of nonlinear predictive control techniques for visual servoing systems, by using image moments as visual features, is the main goal of this paper. An local model based predictor is developed and the cost function is constructed using a image moments based reference trajectory. A new type of visual predictive control architecture is designed and a simulator is developed. Simulation results for a 6 d.o.f eye-in-hand scheme are revealed.}},
  author       = {{Copot, Cosmin and Burlacu, Adrian and Lazar, Corneliu}},
  booktitle    = {{2011 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE)}},
  isbn         = {{9781424493128}},
  language     = {{eng}},
  location     = {{Gdansk, Poland}},
  pages        = {{963--968}},
  publisher    = {{IEEE}},
  title        = {{Visual predictive control architecture based on image moments for manipulator robots}},
  year         = {{2011}},
}

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