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--- members:fiorino:fiorino [2019/03/29 16:19] – [Research Interest] admin
+++ members:fiorino:fiorino [2019/04/09 08:57] (current) – fiorino
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 ** Phone: ** (+33) 4 57 42 14 95
+===== Publications =====
+[[members:fiorino:recent_works|Recent works]]\\
+[[members:fiorino:allpublications|Complete list]]
 ===== Background =====
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-I received a bachelor degree in telecomunication from the [[http://www.iut-acy.univ-savoie.fr/|Annecy Institute of Technology]], an engineering M.S degree in operating systems and network computing from the [[http://www.polytech-grenoble.fr/|Polytech'Grenoble School]] and a M.S degree and a PhD. in Artificial Intelligence from the [[http://www.ujf-grenoble.fr/|Grenoble 1 University]] (Joseph Fourier University). I also hold a "Habilitation à diriger des recherches" form Grenoble Alpes University. Between 2006 and 2013, I was associate professor at [[http://www.parisdescartes.fr|Paris Descartes University]]. Between 2011 and 2013, I was vice-president of the bord director of Paris Descartes. Since 2013, I am associate professor at [[https://www.univ-grenoble-alpes.fr|Université Grenoble Alpes]]. My research is  done in the [[http://www.liglab.fr/|laboratory of computer sciences of Grenoble]] (LIG) in the [[http://marvin.imag.fr|team Marvin]].
+I received my Ph.D. degree from SUPAERO (Ecole nationale supérieure de l'aéronautique et de l'espace) and the ONERA (Office National d'Etudes et Recherches Aérospatiales). I visited the Robotics and Artificial Intelligence group at the LAAS (Laboratoire d'Analyse et d'Architecture des Systèmes) as postdoctoral fellow. This research work was supported by the DGA (Délégation Générale à l'Armement) and focused on AUV (Autonomous Underwater Vehicles) cooperation. Currently, I am Associate Professor in computer science at Grenoble Alpes University (UGA) and permanent researcher at Grenoble Informatics Laboratory (LIG).
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  ===== Research Interest =====
-I am interested in devising autonomous agents (softbots, physical robots etc.). Agent technologies envision artificial systems with a high degree of autonomy requiring only high-level supervision of human users. This autonomy simplifies human control and drastically improves the scope of agent achievable tasks. Fully autonomous agents are still out of reach: currently their performances under human remote control are very limited. However, in the near future, autonomous agents will become believable companions in our everyday lives and useful surrogates in dangerous or troublesome situations. The concepts and the algorithms that I investigate in my research works aim at contributing to the development of "autonomy technologies". This research effort is important to support the incipient industry of autonomous systems.
+###
+I am interested in devising autonomous agents (softbots, physical robots etc.) Agent technologies envision artificial systems with a high degree of autonomy requiring only high-level supervision of human users. This autonomy simplifies human control and drastically improves the scope of agent achievable tasks. Fully autonomous agents are still out of reach: currently their performances under human remote control are very limited. However, in the near future, autonomous agents will become believable companions in our everyday lives and useful surrogates in dangerous or troublesome situations. The concepts and the algorithms that I investigate in my research works aim at contributing to the development of "autonomy technologies". This research effort is important to support the incipient industry of autonomous systems.
+###
-Generally, autonomy in artificial systems is considered as a restrained form of rational reasoning for action, i.e. the ability for an agent to make its own sequential decisions in order to achieve an assigned objective i.e. automated planning. I have addressed the autonomy of artificial systems in other dimensions:
-Composition: This is the ability for an agent to fulfill objectives that are beyond the scope of its intrinsic capabilities: it involves a cooperative encounter based on distributed planning between agents which jointly explore a shared search space, identify and look for necessary resources, coordinate their decisions and operate the appropriate mechanisms to solve their conflicts.
-Generalization: This is the ability to compute high-level/algorithm-like plans that solve classes of planning problems. Generalized planning allows to expand agents' capabilities by identifying non deterministic choices, concurrence and loop-structures in planning problems.
-Adaptation: This is the ability to learn from past decisions, and explore search spaces with respect to every changing goals in dynamic environments.
-**Keywords:** automated planning distributed planning, multiagent system, autonomous systems, real-time search, machine learning, social roboticsArtificial Intelligence.
+###
+**Keywords:** automated planning, machine learning, distributed planning, multiagent system, autonomous systems, cobotics, social robotics, Artificial Intelligence.
+###