Gabriel Salles-Loustau
Papers
1
Total Citations
14
H-Index
1
About
Gabriel Salles-Loustau is a researcher whose work sits at the intersection of distributed systems, artificial intelligence, and human-computer interaction, with a particular focus on enhancing safety and resilience in critical environments. His most notable contribution is the development of **Argus**, a pioneering system that leverages Multi-Agent Reinforcement Learning (MARL) to enable smartphone-enabled human cooperation for disaster situational awareness. By coordinating both human bystanders and autonomous agents like drones or robots, Argus creates dynamic 3D maps of disaster scenes to facilitate more effective rescue operations—a concept that has garnered 14 citations and stands as a cornerstone of his research. Beyond this, Salles-Loustau explores how mobile and embedded systems can be harnessed for real-time decision-making under uncertainty, blending theoretical models with practical, deployable solutions. His work is particularly impactful for students and researchers interested in cyber-physical systems, emergency response technologies, and the design of cooperative AI that augments human capabilities in high-stakes scenarios.
Research Focus
Key Achievements
Top Papers
- 1