yassine talhaoui

- Hybrid Drill Simulator with Integrated Robot in Unreal Engine 5: Developed a high-fidelity interactive simulator in UE5 replicating the full mechanical behavior of a slim-hole drill and its handling robot. The realistic visual environment and dynamic physics system provide an immersive training platform and a decision-making tool for technical optimization. - Seafood Traceability Dashboard: Implemented a dashboard to track fish lots from capture to sale. Each step records verifiable data such as location, storage conditions, and processing time. A dynamic QR code system allows stakeholders to access and update information in real time. - Autonomous Electrical Energy Production Module 4.0: Created a virtual prototype of a portable, autonomous energy production module for the Canadian mining industry, using UE5 and AI for an intelligent control system enabling optimized energy management under extreme conditions. - Intelligent Trajectory Prediction System for Robotic Welding: Developed an AI-based system to automatically generate welding trajectories from 3D point clouds captured by a (Lucid Helios2+) camera. The goal was to analyze complex metal geometries, extract weld seams, and generate optimized paths for a collaborative robotic arm (Doosan M1013). The entire pipeline covered acquisition, preprocessing, modeling, prediction, and execution.

Developed and industrialized an intelligent trajectory prediction system for robotic welding. The project included data generation, weld edge extraction, trajectory prediction on different configurations, and the creation of a dedicated web interface. Trajectories were simulated and validated with RoboDK to ensure feasibility and compliance with robot constraints.

Development of an intelligent welding of trajectory prediction based on a 3D scanner. AI laboratory at UQAR, Canada. Tasks : - Data generation of a 3D point cloud using Blender. - Data preprocessing and cleaning for the prediction models. - Extraction of the welding trajectory using a mix of computer vision and machine learning algorithms. - Classification the different types of welding joint using a deep learning technical.

Observation internship within the company VEOLIA at the Renault Nissan factory Tangier, Morocco. Tasks : - Observation the working system and mechanism of the VEOLIA factory. - Join and help in the technical problems within maintenance department.