Marco Hanna

Voice-Driven VR Automation: Developed a proof of concept for voice-driven automation in VR environments. Point Cloud Segmentation: Researched and tested, 3D semantic/instance segmentation models. Industrial Layout Automation Using LLMs: Utilized large language models (LLMs) to generate JSON-based 2D/3D layouts using structured prompts. Using LLMs to Generate 2D Industrial Work Areas – Master Thesis: Designed a novel framework to automate 2D industrial work area layout generation using LLaMA.

Processed JSON and XML data, developed Python scripts for semantic segmentation of raw images using computer vision techniques, and packaged segmented images into uncompressed video formats. Optimized the ROS-x86 pipeline in a Docker environment using C++, benchmarking performance improvements.