ADVANCED AUTOMATION OF MACHINES, HIGHLY COMPLEX PROCESSES AND ENVIROMENTS 

The GAMHE group carries out research in the field of physical technologies in three main goal-oriented levels. The first level is the applied research and technological development in short terms. The main goals are the participation in the technology transfer of the results produced in the laboratory through the development of prototypes, performing feasibility studies through industrial testing, and refinement and generalization of control algorithms and intelligent monitoring procedures already developed dealing with machines, complex processes and environments that include productive sectors (e.g., machine tools and manufacturing) and non-productive sectors (e.g., services and insurance).

The second level includes all applied research likely to be transferred in medium term to the industry. The main goals are focused on the developing strategies for designing and dynamic analysis of intelligent systems, hybridization of Artificial Intelligence-based techniques and the study of uncertainty in models and robust intelligent control settings.

The third level includes non-oriented basic research (medium and long term). The primary line of research is the development of new methods that leverage the synergy among classical techniques and those based on Artificial Intelligence, advanced computational algorithms in middleware and platforms, and communications technologies. Key hot topics are sensors and new sensorial systems, embedded systems, cyber-physical systems and ecosystems information technology.

El grupo se ocupa de tres campos de aplicación principales: vehículos autónomos y transporte inteligente, sistemas de fabricación inteligentes y energía renovable y desarrollo sostenible (LERH). Los principios de la física y la ingeniería se aplican para abordar desafíos científicos y técnicos y cuestiones fundamentales como los sistemas y dispositivos de transporte inteligentes, la conducción automática inteligente y la optimización de procesos y máquinas altamente complejos.

The group addresses three main fields of application, namely autonomous vehicles and intelligent transportation (AUTOPIA programme), intelligent manufacturing systems, and renewable energy and sustainable development (LERH). Physics and engineering principles are then apply to address scientific and technical challenges and fundamental issues such as intelligent transport systems and devices, intelligent automatic driving, and optimization of highly complex processes and machines.

This consortium not only combines the expertise of researchers across a variety of disciplines, but also reflects a growing interest in engineering technologies and informatics to address the challenges of the society in this century. Therefore, we aim to consolidate the position of the Center of Automation and Robotics in these fields by developing new technologies for the manufacturing, transportation and renewable energy.