Laboratory history
The creation of our laboratory is motivated by the research results we have obtained through several years of activity in the following fields
PRU and PNR research projects and Magister doctoral dissertations. In 1990, part of our team launched a research project on the design and construction of a robot with five degrees of freedom (project no. J15/02/02/90). We then embarked on various lines of research linked to pattern recognition and image processing (n:J15/02/02/90, n:J1523/02/05/93, n:J1501/02/05/96, n:J1501/02/03/99 n°J1501/02/06/04 and n° J 0200520060037, n° J0200520120051). We are also involved in system control, introducing vision-referenced control and systems described by partial differential equations.The laboratory is structured into four teams whose complementary themes are pattern recognition and artificial intelligence, image processing, robotics and system control, and statistical modeling. In pattern recognition, we are focusing on the development of new concepts and applications for the identification of objects of various origins with more complex characteristics presented in two- or three-dimensional space, with multiple colors and textures. We are also considering applications in industrial, agricultural and medical environments for the automatic selection and sorting of objects, and their automatic movement or positioning. In image processing, the aim is to introduce new techniques for image enhancement, analysis and interpretation, even when images are highly noisy, and despite the presence of artifacts. In the field of robotics and system control, we are interested in different types of control, particularly vision-based control, for the automatic control of a robot's trajectory, whether fixed, mobile or aerial, in order to carry out the task assigned to it and, in particular, to be able to navigate in an environment, even if it is cluttered, or to land in the appropriate environment if it is aerial. In most of these areas, advanced mathematical theories are required. These often involve statistical analysis to model and explain observed phenomena and, where necessary, make predictions.
Our objectives
Our primary objectives are scientific, technological and economic. On the scientific front, the first objectives we have set ourselves are to develop new methods in the various fields in which the four teams are involved. We also aim to keep abreast of recent technological developments, and to produce prototypes capable of providing solutions for our own industrial, agricultural and medical businesses. This is also a contribution to improving production in terms of quality, saving time and fully automating certain tasks that are tedious and harmful. Another important objective is to provide graduating students with specific training to prepare them for a good professional qualification, and to offer promising topics for post-graduate researchers to finalize their theses. The aim is also to validate the ability of team members to undertake research using modern techniques with a view to original applications. The contribution of these managers, capable of solving various scientific and technical problems, will help to fill the growing shortage of specialists in the field of university teaching and training of trainers.
