Nicola Saltarelli

Robotics & AI Engineer


About Me

I am a Robotics & AI Engineer with a strong academic foundation in Automation Engineering (M.Sc. with Honors). My expertise lies at the intersection of classical control theory and modern artificial intelligence applied to robotics.

Currently working as a Research Fellow, I specialize in Autonomous Systems, focusing on Reinforcement Learning and Computer Vision. I am driven by the challenge of building robust robotic systems that can perceive, learn, and act in dynamic environments.

Education

Politecnico di Bari

M.Sc. in Automation Engineering

110/110 cum laude

Politecnico di Bari

B.Sc. in Computer and Automation Engineering

110/110 cum laude

I.T.E.T. Blaise Pascal

High School Diploma (Administration & Marketing)

100/100

Experience

Research Fellow

Politecnico di Bari

Conducting R&D activities focused on producing scientific papers in the fields of Robotics, Artificial Intelligence, and Computer Vision.

Nov 2025 - Present

MSc Research Intern (Master Thesis)

Politecnico di Bari

Thesis: "Online Reinforcement Learning for Adaptive Gain Tuning in Image-Based Visual Servoing".

  • Designed a high-fidelity ROS 2 (Jazzy) / Gazebo environment for a UR5e manipulator.
  • Implemented real-time Cartesian velocity control using MoveIt Servo.
  • Developed a Continuous Action Q-Learning (CAQL) algorithm for adaptive IBVS.
  • Integrated YOLO and AprilTag (OpenCV) for robust tracking in dynamic environments.
Jun 2025 - Oct 2025

Selected Projects

Technical Skills

Coding

Python C++ Matlab VHDL Java JavaScript NodeJS ReactJS HTML/CSS

Automation & Tools

ROS2 Simulink Solidworks LabView Docker NI Multisim Fritzing Git

Languages

Italian (Native) English (B2)