About me

I am a tenured research scientist (chargé de recherche – CR) in INRIA Nancy Grand-Est and LORIA since 2014, working in the project-team LARSEN, directed by Francois Charpillet. Before joining Inria, I was a postdoc in the Intelligent Autonomous Systems Lab of TU Darmstadt (Germany), with Jan Peters, and in the Institute of Intelligent Systems and Robotics (ISIR) in Paris (France), with Olivier Sigaud and Vincent Padois. I obtained my PhD at the Italian Institute of Technology in Genoa (Italy) with Francesco Nori and Giorgio Metta in 2011.

My research is currently focused on robots collaborating with humans. I am interested into combining machine learning with control to improve the prediction, adaptation and interaction skills of robots. I strongly believe in user evaluation, i.e., making potential end-user evaluate our technologies, to improve usability, trust, acceptance.

I am serving as Associate Editor for IEEE Robotics and Automation Letters and IEEE/RAS robotics conferences, and I was Program Chair of IEEE/RAS Humanoids 2019. I recently joined the steering committee of Robotics for Infectious Diseases.

I am currently involved in the following projects:

  • AnDy (EU, H2020, PI): collaboration between humans and humanoids, exoskeletons and cobots
  • HEAP (EU, CHIST-ERA, PI): machine learning techniques and human-in-the-loop  approach to grasp irregular objects in a heap -> hiring 1 year postdoc on interactive learning for robot grasping 
  • C-Shift (FR, LUE, PI): to investigate adaptation with cobots and exoskeletons
  • TELEMOVTOP (FR, AMI Numerique Grand Est, PI): to apply our knowledge in teleoperation to robots for asbestos removal -> hiring 1.5 year robot engineer 
  • EXOTURN (FR, Inria-COVID19, PI): to provide exoskeletons for doctors engaged in the COVID-19 fight in the ICU
  • The_Flying_Coworker (FR, ANR): collaboration between humans and flying robots with manipulators for objects handover
  • ASMOA (FR, DGA): prediction and anticipatory control for exoskeletons

Past projects:

  • CoDyCo (EU, FP7, PI): learning and control for physical human-robot interaction

Upcoming events: