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Ricardo Sanz

  • PhD
  • Coordinator
  • ASLab - Universidad Politécnica de Madrid
  • 1PublicationsNumber of items in Ricardo's My Publications folder on Mendeley.
  • 5Followers

Recent publications

  • Arquitectura de Control Inteligente de Procesos

    • Ricardo Sanz

Professional experience


ASLab - Universidad Politécnica de Madrid

February 2003 - Present

Profesor Titular

Departamento de Automatica - Universidad Politecncia de Madrid

February 1991 - Present


Ricardo Sanz was born in Tomellosa de Tajuña, Spain, in 1963. He is an electrical engineer -with a control systems focus- and doctor in robotics and artificial intelligence with a "Premio Extraordinario de Tesis" for his PhD thesis on strategic control architectures for complex, large-scale, continuous processes. He is professor in Automatic Control and Systems Engineering at the Universidad Politécnica de Madrid in Spain and Visiting Research Fellow at the University of Sussex, Sackler Center for Consciousness Science. For many years he has been involved in research projects in the field of complex intelligent control systems; ranging from expert system application to continuous process industries or software platforms for distributed intelligent embedded systems, to reverse engineering rat-brains or adaptive cognitive architectures for human-like agents. He is the coordinator of the UPM Autonomous Systems Laboratory (, a small research group with a simple but ambitious research program on the development of universal technology for autonomy engineering. He usually acts as expert for the European Commission and the Spanish Government research agencies in the fields of real-time embedded systems, automatic control, dependability, software-intensive systems, complex systems and cognitive systems. He is associated editor of the recently created International Journal of Machine Consciousness. His current research topics are focused around universal cognitive architectures -general mind designs for animals and machines- capable of robust autonomous behaviour. His main interest, as an engineer, is the applicability of these to dependable technical systems (e.g. factories, cars, utilities, etc.) but he doesn't neglect the possibility of explaining biological minds up to the level of human consciousness. In particular he is currently interested in the way cognitive systems can implement self-awareness loops to augment their functionality and robustness.

Followers (5)

Following (4)