Antonino Mazzeo
Papers
1
Total Citations
3
H-Index
1
About
Antonino Mazzeo’s research lies at the intersection of human motor control and robotic manipulation, with a focus on how humans adapt their strategies when handling objects of varying deformability. His most-cited work, “Human manipulation strategy when changing object deformability and task properties” (2024), investigates how individuals grasp and insert both rigid and deformable objects into holes with different tolerances and depths, revealing critical insights for designing more intuitive robotic systems. This study, with 3 citations, addresses a gap in robotic literature by analyzing human behavior across varying levels of deformability and task complexity. Mazzeo’s contributions are particularly notable for bridging biomechanics and robotics, offering data-driven models that can enhance autonomous manipulation in unstructured environments. His work has implications for prosthetics, manufacturing, and assistive technologies, where understanding human adaptation is key to improving human-robot interaction. Through this research, Mazzeo demonstrates a commitment to unraveling the nuanced strategies humans employ, providing a foundation for future innovations in dexterous manipulation.
Research Focus
Key Achievements
Top Papers
- 1