Rhandy Cardenas

Hello! 👋

I'm Rhandy Cardenas

PhD Researcher · Control & Robotics

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.

Python ROS 2 C/C++ MATLAB/Simulink Machine Learning IPG CarMaker CARLA Gazebo TensorFlow Linux Git LabVIEW

Publications

02

ODD-based Decision-Making

Long-term decision-making framework for intelligent vehicles operating within Operational Design Domains. Presented at IEEE IV Symposium 2025, Cluj-Napoca, Romania.

ROS 2PythonAutonomous Vehicles
03

Automatic Lane Change System

Assessing decisional capability for ODD-compliant automatic lane change using Sense-Think-Act paradigm. Published at IFAC IAV Symposium 2025, Phoenix, USA.

Control SystemsADASSIL/VIL Testing

Experience

PhD Researcher – CIFRE R&AE ADAS

Groupe Renault × Heudiasyc UTC

Jul 2023 – Jul 2026
  • 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

Oct 2023 – Feb 2024
  • 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

Feb 2022 – Aug 2022
  • 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

Sep 2020 – Feb 2021
  • Designed flexible polymer shell for aerodynamic pressure sensors using 3D printing
  • Developed Python HMI for GCODE post-processing

Fablab Monitor

UTC Innovation Center

Oct 2019 – Jan 2020
  • 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

2023 – 2026
  • 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

2019 – 2023
  • Specialization in robotics and control systems
  • Final project at Renault on autonomous vehicles

DUT Electrical Engineering & Industrial Computing

IUT Nice Côte d'Azur

2017 – 2019
  • Foundation in electronics and embedded systems
  • Internship at I21 Innovation