- Solving the inverse kinematics problem using the robotic sytem toolbox, once a trajectory in the task space is defined for an UR10 robot
- Camera-based hole identification: find holes in a steel-plate and evaluate the centers coordinates and radii using the computer vision toolbox
- Industrial application of deep learning: Tool wear estimation for drilling of composite materials, defect detection for robotic arc welding and reduced order modeling of additive manufacturing process.
- Caggiano, Alessandra, and Luigi Nele. "Artificial neural networks for tool wear prediction based on sensor fusion monitoring of CFRP/CFRP stack drilling." International Journal of Automation Technology 12.3 (2018): 275-281.
- Nele, Luigi, Giulio Mattera, and Mario Vozza. "Deep Neural Networks for Defects Detection in Gas Metal Arc Welding." Applied Sciences 12.7 (2022): 3615.
- AI for reduced order modeling