Papers

2

Total Citations

60

H-Index

2

About

Patrick Taillandier is a leading researcher in multi-criteria decision analysis and its application to complex, real-world problems, particularly in disaster robotics and spatial planning. His work bridges the gap between theoretical decision-making models and practical robotic systems, with a focus on developing adaptive strategies for high-stakes environments. Taillandier’s most influential contribution is the application of the PROMETHEE multi-criteria decision-making method to define new exploration strategies for rescue robots. This work, which has garnered 52 citations, addresses the critical challenge of autonomous robot navigation in unknown, post-disaster urban spaces, enabling more efficient victim search and information gathering. He was also a key contributor to the AROUND project, which specifically focused on adapting robotic disaster response technologies for use in developing countries, recognizing the disproportionate impact of climate change-induced natural disasters on these regions. Through this project, Taillandier has helped pioneer more accessible, robust robotic solutions for humanitarian aid. His research is characterized by a strong commitment to practical impact, ensuring that advanced decision-making algorithms translate into tangible benefits for emergency responders and vulnerable communities.

Research Focus

Key Achievements

2
H-Index
2
Papers
60
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Using the PROMETHEE multi-criteria decision making method to define new exploration strategies for rescue robots
52 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Université Toulouse-I-Capitole, System Simulation (United Kingdom)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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