Plenary Lecture
Iterative Solution
Paradigms for Uncalibrated
Robot Vision Control
Associate Professor Mirjana Bonkovic
Faculty of Electrical Engineering
Mechanical Engineering and Naval Architecture
University of Split
Croatia
E-mail: mirjana@fesb.hr
Abstract: Vision is one of the most important sense in humans. Numerous
attempts to mimic that powerful sense have been the main topic of extensive
robotic research for decades. Demonstrated applications of vision control in
which information acquired from camera(s) is used for guiding a robot
system, span the broad range of human activity and include well-known
theoretical, as well as practical knowledge of visual servoing themes.
Visual servoing problem is, in fact, the problem of systems of nonlinear
equations solving, which is a mature and well founded mathematical area with
rich foundations of papers, studying the various type of problems with
appropriate approaches. Uncalibrated, model free, robot visual servoing has
been widely applicable in robot vision due to minimal requirements related
to calibration and robot kinematic’s parameters. The appropriate solutions
are mostly derived from quasy-Newton approach for the nonlinear problem
solving and represent various iterative approaches for acquiring an optimal
solution.
However, if the robot has been controlled in the unstructured environments,
the mentioned problem has been proven hard as the real system has been
influenced with the noise.. Up to now, there are numerous examples which
successfully use described approach for robot visual servoing. The numerical
quasy-Newton methods serves as a theoretical background for problem solving,
which has been proven hard as the real system has been influenced with the
noise. Consequently, additional attention has to be paid which assured
stability and the robustness of the proposed method. Various methods offer
specific improvements which are related mostly to the specific task
requirements. This lecture has a goal to present and compare the efficacy of
the various iterative optimization procedures which, due to their
successfulness, established itself as a paradigm for appropriate problem
solving.
Brief Biography of the Speaker:
Mirjana Bonkovic received the B.S., M.S., and PhD. Degrees in electrical
engineering from the University of Split, Split, Croatia, in 1990, 1994, and
2000, respectively.
Since 1991, she has worked at the Faculty of Electrical Engineering,
Mechanical Engineering and Naval Architecture, University of Split, where
she currently serves as associate professor. She was a visiting student at
Robotics Research Group, University of Oxford, U.K., in 1995, and Visiting
Research Fellow at the Institute of Robotics, University of Maribor,
Slovenia, in 2004. Her research interests are image processing, pattern
recognition, robot vision and bio-mimetic systems. She is author of more
than 30 scientific papers published at international conferences and
journals.