About Me
3rd-year PhD student passionate about research and the automotive industry. I'm developing tactical decision-making systems to guarantee safe operation of ADAS within Operational Design Domains (ODD) at Renault Group and Heudiasyc UTC laboratory. My research combines control theory, robotics, and machine learning for intelligent vehicles. Originally from Peru, now based in France.
Publications
Context-Aware and Reliable Long-Term Decision-Making for Safe Intelligent Vehicles: A Survey
R. P. Cardenas, L. Adouane, C. Zinoune and M. A. Benloucif,
in IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2024.3524881
ODD-based long-term decision-making for intelligent vehicles
R. P. Cardenas Curo, L. Adouane, C. Zinoune and M. A. Benloucif,
Proc. IEEE Intell. Vehicles Symp. (IV), Cluj-Napoca, Romania, 22–25 June 2025
Assessing the decisional capability for an ODD-compliant automatic lane change system via Sense–Think–Act paradigm
R. P. Cardenas Curo, L. Adouane, C. Zinoune and M. A. Benloucif,
Proc. 12th IFAC Symp. Intell. Autonomous Vehicles (IAV), Phoenix, AZ, USA, 7–9 May 2025
Academic Projects
UTAC Challenge 2024
Mentored the UTC student team during the UTC Challenge 2024, the first European competition in a real-world environment dedicated to autonomous and connected mobility. Supervised the development of the 'UTonome On Demand' (UTOD) system using CARLA and MATLAB for simulation. Results: 2nd place (Open Category) and Best School Award.
National IUT Robotics Competition
Fabrication d'un robot autonome capable de simuler un match de tennis. Mission : conception et fabrication du châssis sous SolidWorks (impr. 3D), programmation et conception de cartes électroniques.
Fuzzy System for CARLA
Tactical driving of vehicles using a fuzzy logic system for decision-making in the CARLA autonomous driving simulator. Open-source implementation.
Experience
PhD Researcher – CIFRE R&AE ADAS
Groupe Renault × Heudiasyc UTC
- Developing tactical decision-making system for ADAS within ODD limits
- Design and implementation with ROS 2, Python, and C
- SIL and VIL testing cycles with direct experimentation on real vehicles
- Published survey paper in IEEE Transactions on Intelligent Vehicles
Teaching Assistant – Control Systems
Université de Technologie de Compiègne
- Laboratory supervision for control systems practical work
- Student mentoring using MATLAB/Simulink for analysis and implementation
R&AE Intern – Final Year Project
Groupe Renault CTA
- Developed adaptive HMI for studying decision-making in autonomous driving
- Built system on ROS architecture, evaluated in simulated environment
R&D Intern – Assistant Engineer
NW Technology
- Designed flexible polymer shell for aerodynamic pressure sensors using 3D printing
- Developed Python HMI for GCODE post-processing
Fablab Monitor
UTC Innovation Center
- Supported engineering students on prototyping projects
- Trained users on 3D printers, laser cutting, and CAD software
Education
PhD in Control and Robotics (CIFRE)
Université de Technologie de Compiègne × Renault
- Industrial research partnership with Renault Group
- Focus: Decision-making for intelligent vehicles
- Published in IEEE Transactions on Intelligent Vehicles
MEng Mechanical Engineering, Mechatronics
Université de Technologie de Compiègne
- Specialization in robotics and control systems
- Final project at Renault on autonomous vehicles
DUT Electrical Engineering & Industrial Computing
IUT Nice Côte d'Azur
- Foundation in electronics and embedded systems
- Internship at I21 Innovation