Papers

2

Total Citations

7

H-Index

2

About

Umberto Grandi is a leading voice in the emerging field of **value-driven AI and computational ethics**, with a sharp focus on how autonomous systems can reason about moral dilemmas. His work bridges **logic, planning, and philosophy** to create frameworks where robots and AI agents can make ethically informed decisions. Grandi’s most influential research, such as "Logic-Based Ethical Planning" (2023, 5 citations), pioneers the use of formal logic to embed ethical constraints directly into planning algorithms. In his follow-up work, "Ethical Planning with Multiple Temporal Values" (2023, 2 citations), he extends this model by combining classical planning with Linear Temporal Logic and lexicographically ordered value sets, allowing agents to navigate conflicting moral priorities over time. This approach not only advances the technical feasibility of ethical AI but also engages deeply with philosophical implications, making his contributions both practical and thought-provoking. Grandi’s work is foundational for researchers in AI safety, robotics, and moral philosophy, offering a rigorous toolkit for designing machines that can reason about right and wrong.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Logic-Based Ethical Planning
5 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Institut Polytechnique de Bordeaux, Centre National de la Recherche Scientifique

Top Papers

  1. 1
    Logic-Based Ethical Planning
    5 citations · 2023
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago