Giada Galati
Papers
3
Total Citations
20
H-Index
2
About
Giada Galati is a rising researcher at the intersection of multi-robot systems, human-robot interaction, and socially-aware autonomous navigation. Her work addresses two critical challenges: enabling efficient coordination among heterogeneous robot teams under human supervision, and ensuring that robot motion is not only safe but perceived as socially acceptable by humans. In her highly cited 2023 paper on auction-based task allocation, she developed a strategy that dynamically assigns tasks to robots with varying capabilities while incorporating human oversight, a framework vital for real-world applications like search-and-rescue or warehouse logistics. Galati’s most impactful contributions, however, lie in integrating game theory with robot trajectory planning. Her 2022 paper, which has garnered 8 citations, provided early experimental evidence that game-theoretical models can enhance social acceptability by predicting and adapting to human behavior. She further advanced this concept in her 2025 work, which fuses non-cooperative game theory with the Social Force Model to create a navigation system that balances safety with human comfort. With a growing citation record and a focus on the underexplored human perception of robot movement, Galati is shaping a future where robots are not just functional but welcome in shared spaces.
Research Focus
Key Achievements
Top Papers
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