Joaquin Rodriguez is a Maître de Conférences and researcher with a PhD in Informatics and a decade of experience at the intersection of electrical engineering, robotics, and computer vision. Based at Université de Bourgogne’s VIBOT Team, he combines hands-on development (C/C++, Python, ROS/Gazebo, Docker) with teaching and mentorship across embedded systems, simulation, and sensor calibration. His industry work at iRobot and Softing includes building simulator drivers, automated cloud-based test pipelines, and practical sensor fixtures that moved into production. Comfortable spanning theory and practice, he routinely translates applied mathematics and vision algorithms into robust software and tooling for real-world robots. Originally trained as an electrical technician and now pursuing math teaching credentials, he brings uncommon breadth from low-level PLC programming to advanced autonomous control.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at Université de Bourgogne
Electrical Engineering - Ingeniería Electrónica, Electrical / Electronic Engineering - Ingeniería eléctrica y electrónica, Electrical Engineering - Ingeniería Electrónica, Electrical / Electronic Engineering - Ingeniería eléctrica y electrónica at Universidad Nacional de Rosario
Electrical Technician - Técnico en Electrónica, Tecnología/Técnico de ingeniería eléctrica, electrónica y de comunicaciones, Electrical Technician - Técnico en Electrónica, Tecnología/Técnico de ingeniería eléctrica, electrónica y de comunicaciones at Technician high school #464 - Escuela de educación técnica Nº464 Ing. Benjamín Bahía
This repository contains the original implementation of the polarimetric calibration paper "A practical calibration method for RGB micro-grid polarimetric cameras", submitted to RA-L/IROS 2022.
Contributions:18 commits, 4 PRs, 20 pushes in 6 months
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Joaquin Rodriguez - Maître De Conférences at Université de Bourgogne