Hugo POUSSEUR

Education

2025: Obtained the French National Qualification to Apply for Associate Professor (CNU – Section 27)
2020–2024: PhD in Robotics, Université de Technologie de Compiègne, France
- Thesis: Shared navigation in a cybernetic multi-agent autonomous system
2018–2019: Specialized Master’s in Robotics, CentraleSupélec (Metz, France)
2014–2019: Engineering Degree in Computing, ESILV (Paris, France)
- Ranked 1st in class during the 1st and 2nd years of the engineering cycle

2024-2025: Research Engineer (CNRS), Heudiasyc Laboratory
- Designed and implemented a full autonomous driving stack (navigation & control) on a real car using ROS2/C++, including traffic light integration.
- Delivered a demonstration setup for Imperial College London research.
- Supported research projects: prepared experiments, delivered software developments, and assisted MSc/PhD students.
2020–2023: Research Internship Co-supervision, Heudiasyc Laboratory
- Supervised 6 Master’s theses on planning, perception, and autonomous vehicle control.
2019–2022: Teaching Assistant, UTC & ESILV
- Led TD/TP sessions in AI, Algorithms, C++/Python, local planning, and ROS (≈30 students per group).
- Prepared a 15-person team for the French Robotics Cup (design, strategy, system integration).
- Supervised 6 MSc theses on planning, perception, shared-control and autonomous vehicle control.
2022: Research Assignment, University of Tokyo (Fujimoto Laboratory)
- Road adhesion estimation using camera data.
2019: Master Internship, CEA-LIST
- Development of tools for collaborative robotics projects.

Robotics: Planning, Perception (Vision/LiDAR), Control, ROS / ROS2, Multi-Agent Systems
Programming: C++, Python
Machine Learning: Deep Learning (CNN, RNN), TensorFlow
Tools: Linux, Git, Docker, OpenCV

Traffic Light Detection & Control – detection of traffic lights and adaptive control. View project
Autonomous Vehicle Planning – global route planning, local path adjustment, dynamic control. View project
Autonomous Vehicle Control – lateral/longitudinal control with navigation integration. View project
Human Driving Behavior Prediction – short-term prediction with deep learning & multi-sensor data. View project
Visual Control Applied to Autonomous Vehicle – lane-based control from camera images only. View project

2024 - Thesis: Shared navigation in a cybernetic multi-agent autonomous system

2023 - IEEE ITSC: Cooperative Architecture Using Air and Ground Vehicles for Search and Recognition
2023 - IEEE IV: Multi-Criteria Approach for Driving Intention
2022 - IEEE ITSC: Prediction of Human Driving Behavior Using Deep Learning
2021 - IEEE SMC: Shared Decision-Making for Autonomous Navigation