Danilo Gallo

Papers

1

Total Citations

3

H-Index

1

About

Danilo Gallo’s research lies at the vital intersection of human-robot interaction, disability studies, and ethical AI design. His work focuses on developing practical, inclusive frameworks for deploying robotic platforms in workplace settings, with a particular emphasis on empowering disabled employees. In his most-cited paper, “Ethical Design of a Robot Platform for Disabled Employees: Some Practical Methodological Considerations” (2021, 3 citations), Gallo provides a rigorous, step-by-step account of designing a collaborative robot scenario for disabled workers. Rather than focusing solely on technical performance, he systematically uncovers the potential unintended consequences of introducing AI and automation into sensitive work environments. This methodological contribution is crucial for researchers and practitioners aiming to avoid harm while maximizing assistive benefits. Gallo’s approach champions a participatory, ethically-aware design process that centers the lived experiences of end-users. His work is a key reference for those seeking to build truly inclusive technologies, offering a replicable model for anticipating and mitigating the social and ethical risks of workplace automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Ethical Design of a Robot Platform for Disabled Employees: Some Practical Methodological Considerations
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago