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Jérémie Guiochet

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Présentation

Jérémie Guiochet is professor in computer science at University of Toulouse. His research activities take place at LAAS-CNRS. He received an Engineer degree in electronics and computer sciences at ENSEIRB, and a Ph.D. in 2003 from the INSA, Toulouse, France. He provides courses in Computer Science, Industrial Computing, Dependabilty and Risk Management. His research work is conducted in the LAAS-CNRS in the dependable computing and fault tolerance group (TSF) and relates to safety assessment, fault removal and tolerance in safety critical autonomous systems. <http://homepages.laas.fr/guiochet/> #### Risk analysis and safety argumentation for autonomous systems We investigate which system behavior models and human-system interaction models are appropriate for early risk analysis of autonomously-adapting systems (mostly robotics system). We particularly focus on modeling languages like UML associated with risk analysis methods. See [HAZOP-UML](https://www.laas.fr/projects/HAZOPUML/) page. We also also investigate how uncertainties could be modeled and managed in a develomment process or an safety argumentation (safety case), integrating formal probabilistic models as Markov and Bayesian networks, or belief theory. Other LAAS researchers :[Mohamed Kaaniche](http://homepages.laas.fr/kaaniche/), [David Powell](http://homepages.laas.fr/dpowell/), [Gilles Motet](http://homepages.laas.fr/gmotet) #### Defenses and tests for autonomous systems The counterpart of autonomous adaptation is the confidence that can be placed on the underlying mechanisms. In particular: a) what defenses can be provided as countermeasures against the threats introduced by autonomous adaptation? Our research on this theme focus on the safety of autonomous robot systems based on the use of safety monitors. See [SMOF](https://www.laas.fr/projects/smof) page. b) how to perform tests of autonomous systems, considering the infinate entry set, and that running hazardous scenarios is not possible ? We develop a method based on testing autonomous system in virtual words. Other LAAS researchers: [Hélène Waeselynck](http://homepages.laas.fr/waeselyn/), [David Powell](http://homepages.laas.fr/dpowell/), [Marc-Olivier Killijian](http://homepages.laas.fr/mkilliji/index.html), [Jean Arlat](http://homepages.laas.fr/arlat/), [Matthieu Roy](http://homepages.laas.fr/mroy/), [Felix Ingrand](http://homepages.laas.fr/felix), [Simon Lacroix](http://homepages.laas.fr/lacroix) #### Geo-Privacy risk analysis Specific methods and risk criteria should be developped to analyse risks in the geoprivacy domain. We particularly focus on methods for integrating quantitative estimation (coming from provable security) to qualitative analysis. Other LAAS researchers :[Marc-Olivier Killijian](http://homepages.laas.fr/mkilliji/index.html)

Publications

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Tuning permissiveness of active safety monitors for autonomous systems

Lola Masson , Jérémie Guiochet , Hélène Waeselynck , Kalou Cabrera , Sofia Cassel
Nasa Formal Methods, Apr 2018, Newport News, United States. ⟨10.1007/978-3-319-77935-5_23⟩
Communication dans un congrès hal-01637277v2
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Can robot navigation bugs be found in simulation? An exploratory study

Thierry Sotiropoulos , Hélène Waeselynck , Jérémie Guiochet , Félix Ingrand
2017 IEEE International Conference on Software Quality, Reliability and Security (QRS2017), Jul 2017, Prague, Czech Republic. 10p
Communication dans un congrès hal-01534235v1
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Synthesis of safety rules for active monitoring: application to an airport light measurement robot

Lola Masson , Jérémie Guiochet , Hélène Waeselynck , Augustin Desfosses , Marc Laval
IEEE International Conference on Robotic Computing, Apr 2017, Taichung, Taiwan. ⟨10.1109/IRC.2017.11⟩
Communication dans un congrès hal-01465734v1
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Virtual Worlds for Testing Robot Navigation: a Study on the Difficulty Level

Thierry Sotiropoulos , Jérémie Guiochet , Félix Ingrand , Hélène Waeselynck
12th European Dependable Computing Conference (EDCC 2016), Sep 2016, Göteborg, Sweden
Communication dans un congrès hal-01328909v1