ORETO

Applied Intelligent Systems

The ORETO research group develops its principal research in the field of the design and development of intelligent systems with which to resolve complex problems. This is done through the use of Artificial Intelligence (AI) techniques, Multi-Agent Systems (MAS), etc. The group is formed of professors and researchers from the University College of Computer Science (Ciudad Real), the University Polytechnic College (Almadén) and the University College of Industrial Technical Engineering (Toledo), all of which appertain to the UCLM.

Since its creation, the group has worked in diverse areas of AI, such as expert systems, learning and knowledge acquisition systems and the application of AI to problems in the fields of medicine, e-commerce, movement capturing and sports analysis, prediction of economic series, three-dimensional image synthesis, intelligent surveillance systems, etc. These works have been carried out thanks to publically financed research projects, many of which have been in collaboration with research groups from other universities, both national and international, and companies in the region.  

ORETO Members:

Dr. Ester del Castillo Herrera.
Dr. Juan Giral Muiña
Dr. Luis Jiménez Linares
Dr. Juan Moreno García
Dr. Luis Rodríguez Benítez.

Research lines

Fuzzy Systems: Description, modelling and development of complex systems characterized by their vagueness and uncertainty in the framework of fuzzy logic, fuzzy sets and approximate reasoning.

Identification of events and actions. Identification of non-adequate actions in complex environments. 

Linguistic models in systems: The qualitative modelling of systems, temporal series and events by means of the generation of linguistic descriptions.

Smart Beams: The induction of complex classifiers in large databases using partitioning and specialization techniques using simple classifiers.

Aggregation and fusion of information: The acquisition, aggregation and fusion of data from different physical sensors and video cameras 

Linguistic descriptions. The induction of linguistic descriptions for the indexing of events and actions and for an efficient recovery of temporal segmentations from sensor data.


Contact information

Dr. Luis Jiménez Linares
Luis.Jimenez@uclm.es
Tel.: (+34) 926 295 300 ext. 3704
Fax: (+34) 926 295 354


Website

http://oreto.esi.uclm.es