Alexandre Pitti

PITTI Alexandre

PU, ENSEA, Neuro Group Leader

Member of team :

NEURO

Lieu :

CYU St-Martin, A595

Biography

Alex Pitti is working on Neuro-inspired Robotics and brain-inspired models for Artificial Intelligence (NeuroAI).

He is currently associate professor at the ETIS lab, CNRS UMR 8051 at CY Cergy-Paris University, and leader of the group NEURO constituted of 15 researchers.

2015-2019, he was member of the comittee GDR Robotique CNRS, GT8 “Robotique et Neuroscience”.

In 2011-2016, he held the Chaire d’Excellence CNRS/Cergy-Pontoise University in Cognitive Robotics.

He obtained his Ph.D. at University of Tokyo (ISI Laboratory) in 2007 and was researcher for the japanese research agency JST till 2011.

Personal website: https://sites.google.com/view/alexpitti

Research activities

My research is focusing on Embodied AI, Cognitive models for Memory and
Development, Body Image and Visuomotor Control, Soft Robotics and
Tactile Sensors.

Because _”the body shapes the mind”_, we have to design smart robot bodies for smart AI brains.

Research Gate Google Scholar

Keywords: Embodied Intelligence, Predictive Coding, Continual Learning, Motor Control, Neural Networks, Soft Robotics, Brain, Artificial Intelligence, Robot Learning

Ongoing projects

  • “Learning structures in Audio sequences for Robotic Interaction” CY University/IPAL CNRS/A-Star Institute, Singapore; PhD student Xiaodan Chen (2023-2026)
  • “First Steps Towards a Socially Competent Soft Robotic Assistive Arm” CY University/IPAL CNRS/NUS, Singapore (2023-2026)
  • “Hybrid Neuro-Symbolic Architecture for compositionality and Planning using Serial Order
    Codes” collaboration with Fabrice Morin and Alois Knoll TUM, PhD student Krzisztoff Lebodia (2021-2024)
  • Collège de France, robotique mobile pour agriculture (DIM RFSI, 2020 and 2021)
  • “Spectral method for EIT: application to artificial skin for autonomous vehicle”, ETIS/VEDECOM, PhD Student Mehdi Abdelwahed (2019-2023)
  • “Neuro-computational models for Prediction, Inference, and Learning for long-range sequences based on Predictive Coding”, Facebook/Meta-CY University, PhD student Louis Annabi (2019-2021)