About
Erwan Renaudo served as a Postdoctoral Researcher at the Department of Computer Science, Intelligent and Interactive Systems, University of Innsbruck from 2017 to 2024, following prior postdoctoral and doctoral work at Institut des Systèmes Intelligents et de Robotique, University Pierre et Marie Curie.
His academic credentials include:
- PhD in Computer Science and Robotics from Université Pierre et Marie Curie (2016)
- MSc in Artificial Intelligence and Robotics from Université de Cergy Pontoise (2012)
- MSc in Electronics Engineering from École Nationale Supérieure d'Électronique et de ses Applications (2011)
Renaudo's research centers on Autonomous robotics, Machine Learning for robotics, and Action to behaviour processes in robotics, with emphasis on neuro-inspired architectures that bridge cognitive science and robotic adaptation. His work develops flexible learning frameworks where robots transition between goal-directed and habitual behaviors, enhancing real-world applicability in dynamic environments.
Analysis of his 2020-2025 publications reveals dominant trends in reinforcement learning optimization for robotics, particularly in e-waste recycling automation and human-robot interaction. Key contributions include computational cost reduction through hybrid model-based/model-free architectures, exploration strategy innovations in deep reinforcement learning, and visual intelligence systems for robotic disassembly. His research consistently integrates multi-strategy learning to handle real-world variability in human rewards and environmental constraints.
No scientific awards were documented in available sources.
Renaudo actively supervises Bachelor's and Master's thesis projects through the University of Innsbruck's Intelligent and Interactive Systems group. His research is supported by significant projects:
- Current: ELSA (ANR-FWF Joint project 2022-2026)
- Past: IMAGINE (EU Horizon 2020, 2017-2021)
- Past: RoboErgoSum (ANR-12-CORD-30)
He maintains active involvement with the Intelligent and Interactive Systems research group at the University of Innsbruck and previously collaborated with the AMAC team at ISIR in Paris, with recent participation in RoboCup competitions (2021-2023) demonstrating practical implementations of his research.
