Piercarlo Dondi

Papers

Total Citations

H-Index

About

Piercarlo Dondi is a researcher at the intersection of human-robot interaction and computer vision, with a focus on making robotic systems more intuitive and accessible. His most-cited work, "Hybrid Manual and Gaze-Based Interaction With a Robotic Arm" (2021), introduces a novel approach that combines traditional manual control with gaze tracking to simplify the operation of robotic arms. This hybrid method addresses the growing need for human oversight in increasingly automated industrial environments, where direct control remains complex and cumbersome. By leveraging eye movements as a natural and comfortable input modality, Dondi’s research reduces cognitive load and enhances precision, paving the way for more user-friendly interfaces in manufacturing, assistive robotics, and beyond. His contributions are particularly relevant as robots expand into diverse settings beyond factories, requiring operators to interact with them efficiently without extensive training. With over 5 citations on this key paper, Dondi’s work is gaining recognition for its practical impact, offering a glimpse into a future where gaze-based commands become a standard tool for human-robot collaboration.