Intelligent Systems – Artificial Intelligence for task automation

Abstract

The automation of certain complex tasks is currently possible through the use of techniques based on Artificial Intelligence. These tasks require decision-making processes, reasoning based on experience, autonomous learning, treatment of unforeseen situations, etc. The use of various Artificial Intelligence techniques has facilitated the development of applications with enormous cost advantages in both space and time with respect to other types of technology. In this line our research group has experience in the development of applications using various intelligent technology. To develop these types of software solutions the GTI-IA group offers: – Experience and specialized knowledge for the consultancy of Intelligent Systems technology in R&D&I – Expert personnel in the elicitation of requirements of current software applications – Specific advanced tools and expert personnel in the analysis and design of flexible and scalable intelligent systems – Expert and extensively trained personnel in the implementation of complex systems using state-of-the-art Intelligent Systems technology and tools – Support for the maintenance and management of intelligent solutions in any type of environment.

Scientific officer

Botti Navarro, Vicente Juan

Stakeholders

Applications

  • Industrial Process Control
  • Traffic control
  • Mobile Robotics
  • Task, Route and Logistics Planning
  • Intelligent Systems for Knowledge and Enterprise Information Management
  • Intelligent Systems for Medical, Government and Service domains Telecommunications resource management
  • Information Management
  • Recommender Systems

Technical advantages

The technical advantages of these applications include: robustness, reliability, flexibility, autonomy, learning capacity, adaptability, scalability, interoperability and intelligent behavior.

Benefits it provides

Intelligent Systems applications bring visible benefits in the short, medium and long term in the environments in which they are implemented, such as: ease of interaction and operation with human users, ease and speed in adapting to changes in system requirements, possibility of integration of human users in the intelligent system, etc.

Relevant experience

  • User assistance system using case-based reasoning.
  • Autonomous navigation and behavior of physical robots.
  • Slice Optimization System
  • Intelligent recommendation system applied to the discovery of new chemical catalysts.
  • SIGESPOOL: Integrated Management System for Pool Companies.
  • Multiagent System for the Control of a Container Terminal.
  • Multiagent System for Production Scheduling.
  • JGOMAS: Multiagent System applied to 3D virtual reality environments.
  • Multiagent System application for the management of leisure activities through the use of cell phones.
  • Automation of the process of chromatic sensing of works of art.