Mechatronics & Robotics Engineer | Bridging the gap between Mechanical Design and Intelligent Control
I am a Master's graduate from Politecnico di Milano specializing in robotics, control systems, and deep learning.
- 🎓 Master's Thesis: Developing a Deep Learning pipeline (GNNs & Transformers) for automated CAM in robotic manufacturing.
| Category | Tools & Languages |
|---|---|
| Languages | |
| Robotics & Sim | |
| AI & Data | |
| Design/CAD |
- LLM-Powered Chess Robot: A robot arm that understands natural language instructions to play chess using SayCan affordance grounding.
- Real-Time Inverted Pendulum: Hardware-in-the-loop control using LQR and Kalman filters.
- Soft Robotic Gripper: A 3D-printed, tendon-driven compliant gripper for fragile objects.
I've integrated live demos of my robots and simulations on my portfolio site. Scan the code below to see them in action!
“The best way to predict the future is to design it.”