Daniele Pollastro
Papers
1
Total Citations
22
H-Index
1
About
Daniele Pollastro is a leading researcher in occupational safety and human-robot collaboration (HRC), with a focus on risk assessment methodologies for emerging Industry 4.0 technologies. His most-cited work, "Exploring a cobot risk assessment approach combining FMEA and PRAT" (2022, 22 citations), introduces a novel hybrid framework that integrates Failure Mode and Effects Analysis (FMEA) with Predictive Risk Assessment Techniques (PRAT) to systematically evaluate hazards in collaborative robot workspaces. This contribution addresses a critical gap in safety protocols for cobots operating without physical barriers, offering a structured, proactive approach to identifying and mitigating risks in shared human-robot environments. Pollastro’s research is pivotal for advancing safe HRC implementation, directly supporting the design of safer industrial workplaces. His work is widely referenced by engineers and safety professionals developing standards for collaborative robotics, and it has influenced guidelines for risk management in smart manufacturing. By bridging traditional safety engineering with cutting-edge automation, Pollastro’s contributions are shaping the future of human-centered Industry 4.0.
Research Focus
Key Achievements
Top Papers
- 1Exploring a cobot risk assessment approach combining FMEA and PRAT22 citations · 2022