Damien Pellier
Professor of Computer Science at UniversitΓ© Grenoble Alpes
Laboratory of Computer Science of Grenoble (LIG) β UMR 5217
Head of the Marvin Research Team
π IMAG Building β 700 avenue Centrale
University Campus β 38401 St Martin d'HΓ¨res, France
π’ Office: 365
π Phone: (+33) 4 57 42 15 39
π§ damien.pellier@imag.fr

π Quick Access
- π My Publications
- π₯ Demo Videos
- π οΈ Software & Tools
- π Teaching
- π§βπ¬ Supervision
- βοΈ Contact
π Academic Background
I am a Full Professor in Artificial Intelligence at UniversitΓ© Grenoble Alpes, conducting research within the LIG Laboratory. I lead the Marvin Team, which specializes in automated planning, machine learning, and robotics.
From 2006 to 2013, I was an Associate Professor at Paris Descartes University, where I also served as Vice-President of the Board of Directors between 2011 and 2013.
π§ Research Interests
My research lies at the intersection of Artificial Intelligence, with a particular focus on:
- π§ Automated Planning and Scheduling
- π€ Autonomous Robotics
- π§ Machine Learning
- π§βπ» Human-Robot Interaction
π Focus on Automated Planning
Automated planning is a core area of AI concerned with generating sequences of actions to achieve specific goals from a given initial state. It is a critical component of intelligent systems such as robots, virtual assistants, and mission-critical applications.
A classical planner typically receives: - a formal description of the initial state, - a goal specification, - and a set of available actions (often written in STRIPS or PDDL).
The planner's task is to find a valid sequence of actions that transforms the initial state into one that satisfies the goal. Most classical planners assume discrete time, deterministic outcomes, and full observability.
π€ Collaborations & Supervision
I regularly supervise PhD students, postdoctoral researchers, and graduate projects. I am involved in several national and European research projects (ANR, H2020), focusing on explainable AI, robotics, and intelligent human-machine collaboration.
π¬ Contact
Feel free to get in touch if you're interested in my work, looking for collaborations, or want to join the Marvin team.