Welcome to my site!
Saturday, 12 June 2004

ImageThis is the website of Ricardo Sanz, professor in systems engineering and automatic control and researcher in the field of autonomous systems.

In this site you will find information regarding my activitiy as well as other sources that may be of interest to you. Feel free to explore the site and to suggest any improvement to it.

I do most of my activity as part of the Autonomous Systems Laboratory. ASLab is a research group of ample interests ranging from conventional control and real-time systems to model-based engineering processes and artificial intelligence.

This last is, indeed, my main topic of interest; or to be more precise, I'm interested in mind theory, both artificial and natural within the long term engineering objective of systematically creating better machines by means of improving their intelligence.

Last Updated ( Saturday, 08 July 2017 )
Consciousness and Understanding in Autonomous Systems
Thursday, 11 April 2013
Ricardo Sanz and Julita Bermejo-Alonso
Presented at Towards Conscious AI Systems Symposium. AAAI Spring Symposium Series, Stanford University 2019

his position paper highlights the importance of having a formal notion of understanding as one of the cornerstones in the construction of conscious AIs. It will show that the capability of understanding both the perceptual and the action flows is critical for the correct operation of situated autonomous systems. An assessment is also made on the contribution of the machine learning domain towards this direction.

Article @ ASlab

Presentation @ ASlab

Last Updated ( Sunday, 15 September 2019 )
An Apology for the “Self” Concept in Autonomous Robot Ontologies
Thursday, 11 April 2013
Ricardo Sanz, Julita Bermejo-Alonso, Claudio Rossi, Miguel Hernando, Koro Irusta and Esther Aguado
Presented at ROBOT 2019 Fourth Iberian Robotics Conference

The IEEE has working groups developing standards in many domains. One of these is the elaboration of an standard ontology for autonomous robots. An ontology is a specification of a conceptualization and is useful for having a common conceptual ground when interchanging data about systems. We are working of this standard based on our experience on autonomous systems construction.

This paper focuses on the core idea that underlies all mechanisms for system self-awareness: “Self”. Robot self awareness is a hot topic not only from a bioinspiration perspective but also from a more pro- found reflection-based strategy for increased autonomy and resilience. In this paper we address the uses and genealogy of the concept of “self”, its value in the implementation of robots and the role it may play in autonomous robotic systems’ architectures. We hence propose the inclusion of the “Self” concept in the future IEEE AuR standard ontology.

Article @ ASlab

Last Updated ( Sunday, 15 September 2019 )
Hazte Industrial 2018 - Lógica y Terminators
Saturday, 03 November 2018
Artificial Intelligence is a very relevant technology of major potential impact in industry and society. This talk will highlight some of the major issues to serve as a baseline for discussion with future Industrial Engineers from UPM ETSII.

A speech given at the Hazte Industrial conferences.

The PDF version of the talk slides can be downloaded from here.


Last Updated ( Sunday, 04 November 2018 )
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