Fabien Moutarde

About

Fabien Moutarde is a prominent researcher at the intersection of computer vision, human-robot interaction, and autonomous systems. His work spans three interconnected domains: gesture recognition for human-robot collaboration, robot localization and navigation, and deep learning for autonomous driving. Moutarde's most influential contributions center on enabling natural, intuitive collaboration between humans and robots in industrial environments. His pioneering frameworks for technical gesture recognition using RGB-D cameras — cited 47 times — laid essential groundwork for safer, more intelligent assembly-line robotics, with follow-up work on multi-user and adaptive recognition systems extending this impact further. These efforts reflect a sustained commitment to making human-robot collaboration practical and accessible in real manufacturing contexts. Beyond physical interaction, Moutarde has advanced autonomous driving through his work on General Reinforced Imitation (GRI), which cleverly combines deep reinforcement learning with expert demonstrations to overcome classical challenges of sample inefficiency and training instability, earning 44 citations since 2023. His research on sensor fusion — merging Wi-Fi signals and visual data within probabilistic localization frameworks — demonstrates additional breadth, improving indoor robot navigation without requiring prior building maps. With over 170 cumulative citations across his top works, Moutarde's research consistently bridges theoretical innovation with real-world robotics applications, making him a significant voice in intelligent autonomous systems research.

Research Focus

Key Achievements

Top Papers

1. 1
   Gesture Recognition Using a Depth Camera for Human Robot Collaboration on Assembly Line

   47 citations · 2015
2. 2
   GRI: General Reinforced Imitation and Its Application to Vision-Based Autonomous Driving

   44 citations · 2023
3. 3
   Multi-users online recognition of technical gestures for natural human–robot collaboration in manufacturing

   24 citations · 2018
4. 4
   Introducing New AdaBoost Features for Real-Time Vehicle Detection

   17 citations · 2009
5. 5
   A User-Adaptive Gesture Recognition System Applied to Human-Robot Collaboration in Factories

   15 citations · 2016
6. 6
   Topological localization using Wi-Fi and vision merged into FABMAP framework

   14 citations · 2017
7. 7
   Vision and Wi-Fi fusion in probabilistic appearance-based localization

   11 citations · 2020
8. 8
   Real-Time Gestural Control of Robot Manipulator Through Deep Learning Human-Pose Inference

   10 citations · 2019
9. 9
   New Challenges for Human-Robot Collaboration in an Industrial Context: Acceptability and Natural Collaboration

   6 citations · 2016
10. 10
    Humanoid Robot Navigation: Getting Localization Information from Vision

    5 citations · 2014

Key Collaborators

Contact & Links