Differences

This shows you the differences between two versions of the page.

--- members:pellier:pellier [2019/03/29 20:11] – [Research Interest] admin
+++ members:pellier:pellier [2024/08/29 15:14] (current) – admin
@@ Line 3: / Line 3: @@
 {{ :members:pellier:damien.jpg?nolink180}}
-====== Damien Pellier ======
+===== Damien Pellier =====
 [[http://www.liglab.fr/|Laboratoire d'Informatique de Grenoble (UMR 5217)]] \\
+[[http://marvin.imag.fr|Équipe Marvin]]
 Université Grenoble Alpes\\
 Bâtiment IMAG -- 700 avenue Centrale\\
@@ Line 12: / Line 13: @@
 ** Office:** 365\\
 ** Phone: ** (+33) 4 57 42 15 39 \\
-** Page web: ** [[http://lig-membres.imag.fr/pellier/|http://lig-membres.imag.fr/pellier/]]\\
 ===== Background =====
 ###
-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 am currently a Full Professor at [[https://www.univ-grenoble-alpes.fr|Université Grenoble Alpes]], where I conduct research in Artificial Intelligence, with a particular focus on automated planning and scheduling, machine learning, and robotics. I lead the [[http://marvin.imag.fr|Marvin team]] team at the [[http://www.liglab.fr/|laboratory of computer sciences of Grenoble]] (LIG). My academic journey includes serving as an Associate Professor at Paris Descartes University from 2006 to 2013, during which I also held the position of Vice-President of the Board of Directors from 2011 to 2013.
+I received a Master's degree in Operating Systems and Network Computing from the [[http://www.polytech-grenoble.fr/|Polytech'Grenoble School]] and a Master's degree in Artificial Intelligence from Université Grenoble Alpes. Additionally, I hold an PhD. and a HDR (Habilitation to Direct Research) from Grenoble Alpes University.
 ###
-===== Research Interest =====
+ ===== Research Interest =====
 ###
-My research is in ** Artificial Intelligence** but specially **automated planning and scheduling**, **distributed planning**, **cooperative distributed problem solving** and **coordination**, **multiagent systems** and ** machine learning**.
+My research is in ** Artificial Intelligence** but specially **automated planning and scheduling**, **Robotics** and ** machine learning**.
-###
 ###
-Automated planning is a branch of artificial intelligence that concerns the realisation of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles.
 ###
+Automated planning is a branch of artificial intelligence focused on developing strategies or action sequences for execution by intelligent agents, autonomous robots, and unmanned vehicles.
 ###
-A typical planner takes three inputs: a description of the initial state of the world, a description of the desired goal, and a set of possible actions, all encoded in a formal language such as STRIPS. The planner produces a sequence of actions that lead from the initial state to a state meeting the goal. The difficulty of planning is dependent on the simplifying assumptions employed, e.g. atomic time, deterministic time, complete observabi
-lity, etc. Classical planners make all these assumptions and have been studied most fully.
 ###
+A typical planner operates with three main inputs: a description of the initial state of the world, a description of the desired goal, and a set of possible actions, all encoded in a formal language like STRIPS. The planner's task is to generate a sequence of actions that transition the system from the initial state to one that satisfies the goal. The complexity of planning varies based on the assumptions made, such as atomic time, deterministic outcomes, and complete observability. Classical planners, which operate under all these assumptions, have been the most extensively studied in the field.
 ###
-Distributed planning is concerned with planning by (and for) multiple agents. It can involve agents planning for a common goal, an agent coordinating the plans (plan merging) or planning of others, or agents refining their own plans while negotiating over tasks or resources. The topic also involves how agents can do this in real time while executing plans (distributed continual planning).
-###