Antonio Parziale

University of Salerno

Papers

2

Total Citations

13

H-Index

2

About

Antonio Parziale is a researcher at the intersection of neurorobotics, human-robot collaboration, and sensorimotor neuroscience. His work focuses on understanding how humans perceive and execute movements, with the goal of making robots more intuitive and trustworthy partners. In his highly cited 2023 paper, “Observation vs. interaction in the recognition of human-like movements” (7 citations), Parziale demonstrates that humans rely on prior interaction experiences to recognize natural movements and build trust with robotic co-workers—a critical insight for designing collaborative robots. His 2024 review, “Understanding upper-limb movements via neurocomputational models of the sensorimotor system and neurorobotics: where we stand” (6 citations), synthesizes cutting-edge system-level models that bridge neural mechanisms and robotic control, offering a roadmap for reproducing the human brain’s remarkable ability to learn and adapt in dynamic environments. By integrating computational modeling with real-world robotic applications, Parziale is advancing a new generation of robots that can move, learn, and interact with a distinctly human-like grace—paving the way for safer, more seamless human-robot collaboration in industry and daily life.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Observation vs. interaction in the recognition of human-like movements
7 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Salerno

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago