Stefano Aldini
Papers
9
Total Citations
101
H-Index
6
About
Stefano Aldini is a robotics researcher whose work sits at the intersection of physical human-robot collaboration (pHRC), cognitive science, and intelligent robotic systems. His research focuses on understanding and optimizing the dynamic interplay between human operators and collaborative robots, with particular emphasis on trust, cognitive conflict, and intuitive interaction design. Aldini's most influential contribution — a computational model of robot trust in human co-workers (2022, 28 citations) — represents a significant shift in HRI research by reconsidering trust as a bidirectional phenomenon, not merely something humans extend to machines. This conceptual advance has meaningfully shaped how researchers approach safe and adaptive collaboration frameworks. His work on the ANBOT (2019, 19 citations), an intelligent robotic co-worker designed for industrial abrasive blasting, demonstrates his commitment to translating theoretical insights into real-world applications that protect human workers from physically demanding tasks. A recurring theme across his publications is cognitive conflict — how humans perceive and respond to unpredictable robot behavior — which he has investigated using EEG-based measures such as prediction error negativity. His research extends into agricultural robotics and singularity avoidance strategies, reflecting a broad vision for human-robot teamwork across industries. With growing citation counts and interdisciplinary reach, Aldini is an emerging voice in collaborative robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2The ANBOT: An Intelligent Robotic Co-worker for Industrial Abrasive Blasting19 citations · 2019
- 3
- 4
- 5
- 6Prediction Error Negativity in Physical Human-Robot Collaboration8 citations · 2020
- 7
- 8Human-Robot Collaboration in Agriculture3 citations · 2023
- 9