Chadi Salmi
AI & Robotics Engineer passionate about intelligent systems
Robotics Software Architect, Viscon
Design the data collection and processing pipeline for an autonomous greenhouse robot that can navigate, collect data, and analyze the plant.
AI and Robotics Team Lead, AIRLab
Led the development of a robotic platform for autonomous grocery item picking, applying advanced computer vision techniques for 6 DoF pose detection and item classification. Pioneered the integration of few-shot learning models, enabling adaptive product classification without the need for retraining per item.
Research Engineer, TU Delft
Developed and implemented a vision-based pedestrian detector for 3D detection and tracking on a mobile robot platform, leveraging both LiDAR and camera data.
MSc Thesis - Continual Learning for Pedestrian Motion Prediction
Investigated state-of-the-art continual learning techniques for enhancing pedestrian motion prediction models in dynamic scenarios. Designed and deployed a self-supervised learning framework on an autonomous robot platform.
Deep Learning Engineer, Formula Student Delft
Developed and implemented computer vision algorithms for lane detection and object recognition, advancing the team's capabilities in autonomous navigation and decision-making.
Full-stack Developer (part-time)
Developed features for a restaurant POS web application, utilizing modern web technologies and frameworks.
About Me
Experienced and forward‑thinking robotics professional with 5+ years of hands‑on experience developing advanced manipulation systems. Proficient in software architecture applied to robotics, computer vision, and machine learning, with a passion for tackling complex engineering challenges and delivering reliable, high‑impact solutions.
Education
M.S. in Cognitive Robotics
Technical University of Delft
September 2017 - March 2021
B.Eng. in Mechanical Engineering
Technical University of Delft
September 2014 - July 2017
Skills
Programming Languages
Tools & Frameworks
Languages
Publications
Improving Pedestrian Prediction Models With Self-Supervised Continual Learning
Chadi Salmi, Luzia Knoedler, Hai Zhu, Bruno Brito, Javier Alonso-Mora
IEEE Robotics and Automation Letters (RA-L)
2022Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations
Corrado Pezzato, Chadi Salmi, Max Spahn, Elia Trevisan, Javier Alonso-Mora, Carlos Hernandez Corbato
IEEE Robotics and Automation Letters (RA-L)
Earlier version in ICRA Workshop "Embracing Contacts", 2023 — Received 3rd Best Paper
2025Local Planner Bench: Benchmarking for Local Motion Planning
Max Spahn, Chadi Salmi, Javier Alonso-Mora
IROS Workshop "Evaluating Motion Planning Performance"
2022