Alessandro Di Graziano
Papers
2
Total Citations
86
H-Index
2
About
Alessandro Di Graziano is a leading researcher in advanced human-robot interaction and intelligent manufacturing systems. His work centers on teleoperation, augmented reality (AR), and robotic embodiment, with a focus on improving operator performance in industrial assembly tasks. His most cited paper (84 citations) demonstrates how AR enhances teleoperated manipulation by improving accuracy, dexterity, and spatial perception—challenging traditional human-robot interaction paradigms. Di Graziano also contributes to rehabilitation robotics, exploring the fusion of wearable sensors with mobile haptic robots for upper limb assessment. Though this area has fewer citations, it reflects his commitment to applying robotic systems in therapeutic contexts, emphasizing flexible, patient-centered design. His research bridges the gap between immersive technologies and practical robotic control, offering insights into how operators perceive and interact with remote environments. Di Graziano’s work is particularly notable for its integration of perceptual cues, such as egocentric distance estimation, into teleoperation frameworks—a critical factor for task success. His contributions are shaping the future of intuitive, high-performance human-robot collaboration in both industrial and medical settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2