Dario Sanalitro, Ph.D.

Research Interests

Driven by the motto “turning the unknown into the known,” I am a roboticist interested in the modeling and control of dynamical systems, with a particular focus on multi-robot solutions. My overarching goal is to create robotic systems capable of engaging in physical interactions with their surroundings—exchanging forces to perform complex tasks that require intelligence, adaptability, and precision. This pursuit involves overcoming challenges in robot and environment modeling, control design, and system stability.

With an M.Sc. in Automation Engineering, a Ph.D., two postdoctoral positions in Robotics, and a non-tenure track Assistant Professorship, my research has focused on object manipulation in physically interactive scenarios—including interactions between humans and robots, between multiple robots, and between robots and their environment.

I have explored both theoretical and applied aspects of robotics, studying robot linear and nonlinear modeling, inverse kinematics control, robust control, shared control, indirect force control, barrier function–based control, and model predictive control. In recent years, I have also expanded my expertise into Artificial Intelligence and Machine Learning, applying these tools to both modeling and control problems, as well as integrating them into my teaching activities.

Looking ahead, I aim to continue advancing the field of aerial robotics, focusing on intensifying the intelligence and coordination capabilities of multi-robot systems for complex physical interaction tasks.

Keywords

• Aerial Robotics
• Aerial Physical Interactions
• Aerial Cooperative Manipulators
• Human-Robot Interactions
• Hybrid Position-Force Control
• AI for Robotics
• Brain-Computer Interface Systems