Marvin - Artificial Intelligence and Robotics
Joint research team between CNRS, Grenoble INP, UGA
Leader: 
Phone: 
04 57 42 15 39
Building: 
The research group Marvin(*) is a new team whose members come from the AMA and the HAwAI team of the LIG. Marvin investigates the approaches of Artificial Intelligence for robotics and intelligent systems. Robots performing complex tasks in stochastic environments, such as helping humans at home or collaborating with humans in industries require cognitive skills to interpret sensor data, understand scenes, select and perform actions, deal with failures and interact with humans. We devise new methods of perception, decision and interaction for robots based on AI planning and machine learning techniques. One of the main focuses of the group is the integration of these techniques into different robotic platforms and architectures.

Our group addresses 3 scientific challenges:
  • Challenge 1: Develop explainable, provable and human acceptable decision mechanisms for autonomous robots
  • Challenge 2: Develop intelligent perception to model the environment and to be integrated in the robot decision-making process
  • Challenge 3: Develop social robots that can be considered as intelligible, credible and acceptable for humans
(*) Marvin refers to Marvin Minsky, one of the founding fathers of Artificial Intelligence, but also to the fictional robot Marvin, the ship's robot in The Hitchhiker's Guide to the Galaxy series by Douglas Adams.
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Permanent members

Last name First name Status Phone
AYCARD Olivier Associate Professor +33 4 57 42 14 47
FIORINO Humbert Associate Professor +33 4 57 42 14 95
PELLIER Damien Associate Professor +33 4 57 42 15 39
PESTY Sylvie Professor +33 4 57 42 15 43

Non-permanent members

Last name First name Status Phone
CANTALUPPI Thibaut PhD Student
GOMEZ CAMPO Juan Daniel Intern
GRAND Maxence PhD Student
HMEDAN Belal Intern
KHOSHNAZAR Mohammad Intern
LANDRY Aurélie Associated Researcher
SCALES Philip PhD Student
WALLELIGN Serawork Amsalu Post-doc
YOUNES Rami PhD Student
ZHENG Pu PhD Student
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