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Welcome to ASLab
Written by Web Master   
Saturday, 12 June 2004
You are kindly welcomed to the UPM Autonomous Systems Laboratory website. This site contains information about our research group: projects, activities, people, publications, courses, etc. The focus of our research are Autonomous Systems, i.e. systems that operate by themselves without the need of external intervention. Autonomous systems are useful in many real-life situations for economical, technical or safety reasons. Image
Last Updated ( Friday, 15 April 2016 )
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MPM4CPS
Written by Administrator   
Tuesday, 02 June 2015

ICT COST Action IC1404 Multi-Paradigm Modelling for Cyber-Physical Systems (MPM4CPS)

Image Truly complex, designed systems, known as Cyber Physical Systems (CPS), are emerging that integrate physical, software, and network aspects. To date, no unifying theory nor systematic design methods, techniques and tools exist for such systems. Individual (mechanical, electrical, network or software) engineering disciplines only offer partial solutions.

Multi-paradigm Modelling (MPM) proposes to model every part and aspect of a system explicitly, at the most appropriate level(s) of abstraction, using the most appropriate modelling formalism(s). Modelling languages’ engineering, including model transformation, and the study of their semantics, are used to realize MPM. MPM is seen as an effective answer to the challenges of designing CPS.

We aim to promote the sharing of foundations, techniques, and tools and to provide educational resources, to both academia and industry. This will be achieved by bringing together and disseminating knowledge and experiments on CPS problems and MPM solutions.

Last Updated ( Tuesday, 02 June 2015 )
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Robustness and Resilience
Written by Ricardo Sanz   
Tuesday, 10 December 2013

An ASLab Research Seminar

Robustness and Resilience

for Autonomous Systems

Ricardo Sanz

Place: Aula de Seminarios de Automática
Time: December 12, 2013 / 12:30-14:00

Our lives depend on the technical infrastructure that surrounds us. The contemporary -beginnings of XXI century- human ecosystem is composed not just of our preys, our predators, the fruits to gather and the inclement climate. If we consider our day-to-day lives we found an escalating paraphernalia of artificial assets that are critical for our wellbeing. Well being is obviously good; what is not so good is our dependence on it and the slavery that this implies.

Image Henceforth, the human impact derived from the failure of these systems is becoming enormously severe, threatening the economy, the security of nations and organisations, the equilibrium of the environment and even the safety of human individuals. The increasing complexity of both the plant, the operational environment and the requirements imposed to it create a wider spectrum of opportunities for failure. The expanding pervasiveness and importance of the connected ICT (esp. the Internet), creates a whole bunch of new opportunities for saboteurs, recreational crackers, terrorists, professional cyberthieves or government cyberwarfare agents.

We are interested in these technological systems and how to improve their operational profile. However, besides the "intentional" risks, i.e. the risks due to the bad intentions of the bad guys, there are plenty of good, old-fashioned ways of things going wrong in an industrial plant. I'm more interested in non-intentional causes of failure but, nevertheless, we cannot ignore the intentional ones if we target an universal technology for autonomy.

We are interested in technology for making systems autonomous, and, in this context, a topic of research is how to achieve "robust autonomy". With this I essentially mean that a system -the autonomous system- will be able to operate without human supervision, attaining the pre-specified goals despite the possible perturbations that may occur.

Said this way, the purpose of robust autonomy is, basically, the same as the purpose of any controller. Indeed, from a critic perspective, there are may terms that seem to mean exactly the same: control, stability, robustness, resilience, survivability, reliability, dependability, availability, adaptivity, viability, etc. All them talk about "keep calm and going on".

Find more about Ricardo Sanz.

Last Updated ( Friday, 13 December 2013 )
 
Tesis de Carlos Hernandez
Written by Ricardo Sanz   
Thursday, 03 October 2013
La tesis de Carlos Hernandez será defendida el 17 de octubre a las 12:30 en el aula Artigas.

Model-based Self-awareness Patterns for Autonomy

This thesis is an solid advance in the formulation and technical reification of the ASys Principles of model-based self-cognition. See ASys Project.

It has produced theoretical models and technical assets for having systems self-handle at run- time for robust autonomy. For that purpose, it has focused on the biologically inspired capability of self-awareness, and explored the possibilities to embed it into the very architecture of software-intensive control systems. The proposed approach goes beyond the customary applications in mobile robotics into the deep waters of autonomous systems domain engineering.

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Get the PDF.

Last Updated ( Thursday, 10 October 2013 )
 
A New Foundation for Representation in Cognitive and Brain Science
Written by Ricardo Sanz   
Thursday, 10 October 2013
A recent book by Jaime Gomez on foundations of representation for autonomous agents:

A New Foundation for Representation in Cognitive and Brain Science. Category Theory and the Hippocampus by Jaime Gómez. ISBN 978-94-007-7737-8, Springer Series in Cognitive and Neural Systems, Vol. 7, 2013.

From the introduction of the book:

The book is based on Gomez's research at the UPM Autonomous Systems Laboratory. It offers a proposal towards the deep understanding of brain function by defining a general framework for representation based on category theory. The idea is to bring this mathematical formalism into the domain of neural representation of physical spaces, setting the basis for a theory of mental representation, able to relate empirical findings, uniting them into a sound theoretical corpus.

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The book A New Foundation for Representation in Cognitive and Brain Science will be available in bookshops soon. More details from Springer.

Last Updated ( Thursday, 10 October 2013 )
 
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