Improving vision-based control using efficient second-order minimization techniques

  • Ezio Malis
  • Published 2004 in
    IEEE International Conference on Robotics and…

Abstract

In this paper, several vision-based robot control methods are classified following an analogy with well known minimization methods. Comparing the rate of convergence between minimization algorithms helps us to understand the difference of performance of the control schemes. In particular, it is shown that standard vision-based control methods have in… (More)
DOI: 10.1109/ROBOT.2004.1308092

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@article{Malis2004ImprovingVC, title={Improving vision-based control using efficient second-order minimization techniques}, author={Ezio Malis}, journal={IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004}, year={2004}, volume={2}, pages={1843-1848 Vol.2} }