Philippe Fillatreau

About

Philippe Fillatreau is a robotics researcher whose career spans three decades of pioneering work in autonomous mobile robotics, 3D environment perception, and robot localization. His foundational contributions emerged in the 1990s through groundbreaking research on autonomous navigation in natural environments, most notably through his involvement in the EDEN experimentation framework, which addressed the complex perceptual and decisional challenges facing all-terrain mobile robots. His work on 3D terrain modeling using laser range finders and depth images established robust methodologies for robots operating in unstructured outdoor and indoor settings, collectively garnering nearly 100 citations across his core navigation papers. Fillatreau's research evolved naturally toward hardware-accelerated solutions for real-time robotics, including FPGA-based implementations of visual SLAM systems — reflecting his commitment to bridging algorithmic innovation with practical deployment constraints. In more recent years, he has turned his attention to ontology-driven approaches for coupling task and path planning in complex industrial manipulation simulations, demonstrating a sophisticated integration of semantics, topology, and 3D environment representation. His 2023 work on ENVON signals continued relevance in the emerging domain of smart shopfloor robotics. Across his career, Fillatreau exemplifies a researcher who consistently connects theoretical perception frameworks to real-world autonomous systems challenges.

Research Focus

Key Achievements

Top Papers

1. 1
   3-D autonomous navigation in a natural environment

   38 citations · 2002
2. 2
   On autonomous navigation in a natural environment

   31 citations · 1995
3. 3
   Indoor scene terrain modeling using multiple range images for autonomous mobile robots

   29 citations · 2003
4. 4
   Multi-layer path planning control for the simulation of manipulation tasks: Involving semantics and topology

   13 citations · 2018
5. 5
   Localization of an Autonomous Mobile Robot from 3D Depth Images using heterogeneous Features

   13 citations · 1993
6. 6
   HW/SW co-design of a visual SLAM application

   8 citations · 2018
7. 7
   FPGA based hardware acceleration of a BRIEF correlator module for a monocular SLAM application

   5 citations · 2016
8. 8
   An Ontology-Based Approach Towards Coupling Task and Path Planning for the Simulation of Manipulation Tasks

   5 citations · 2018
9. 9
   Adaptive localization of an autonomous mobile robot in natural environments

   4 citations · 2002
10. 10
    An ontology of 3D environment where a simulated manipulation task takes place (ENVON)

    2 citations · 2023

Key Collaborators

Contact & Links