Chadi Salmi
I like to build things with code
Research Engineer (AI and Robotics), 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.
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
Hello, my name is Chadi Salmi born and raised in Rotterdam the Netherlands. I enjoy building things, especially using computers! I’m also fascinated by AI and Machine Learning. I’ve been lucky to have the opportunity to work on both these passions in my MSc and other projects.
Education
M.S. in Cognitive Robotics, Technical University of Delft
(09/2017 - 03/2021)
B.Eng. in Mechanical Engineering, Technical University of Delft
(09/2014 - 07/2017)
Skills
Programming Languages:
Tools and Frameworks:
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Publications
- Improving Pedestrian Prediction Models With Self-Supervised Continual Learning, IEEE Robotics and Automation Letters (RA-L), 2022
- Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations, under review for RA-L, 2023
- Local Planner Bench: Benchmarking for Local Motion Planning, IROS workshop on "Evaluating motion planning performance", 2022