Salvatore Miranda

About

Salvatore Miranda is a leading researcher at the intersection of Industry 4.0, human factors engineering, and collaborative robotics. His work fundamentally examines how the close interaction between humans and robots—known as Human-Robot Collaboration (HRC)—affects worker performance, reliability, and error rates in modern manufacturing contexts. Miranda’s most influential paper, “Human-Robot Collaboration: an analysis of worker’s performance” (95 citations), established a foundational understanding of how collaborative robots impact system efficiency and operator well-being. He further advanced the field with his widely cited study “Smart operators: How Industry 4.0 is affecting the worker’s performance in manufacturing contexts” (68 citations), which explores the evolving skill sets required for the fourth industrial revolution. Miranda is also recognized for developing a comprehensive taxonomy of factors influencing worker performance in HRC (30 citations) and for pioneering empirical analyses of human error during human-robot interaction (15 citations). His recent work continues to refine conceptual frameworks for task performance analysis, making him a key voice in ensuring that automation enhances—rather than hinders—human capability.

Research Focus

Key Achievements

Top Papers

1. 1
   Human-Robot Collaboration: an analysis of worker’s performance

   95 citations · 2022
2. 2
   Smart operators: How Industry 4.0 is affecting the worker’s performance in manufacturing contexts

   68 citations · 2021
3. 3
   A taxonomy of factors influencing worker's performance in human–robot collaboration

   30 citations · 2022
4. 4
   A Human Error Analysis in Human–Robot Interaction Contexts: Evidence from an Empirical Study

   15 citations · 2023
5. 5
   Human Robot-Interaction: a conceptual framework for task performance analysis

   3 citations · 2024
6. 6
   The role of human error in human robot interaction

   1 citations · 2025

Key Collaborators

Contact & Links