Collaborative decision-making in uncertain scenarios

Our research initiative aims to tackle challenges in multi-agent decision-making under uncertainty, with a focus on mission-critical scenarios. We will investigate how autonomous systems can effectively collaborate while maintaining individual resilience. Key research interests include developing frameworks for real-time adaptive planning that account for dynamic environments and varying agent capabilities. The project seeks to address fundamental questions in uncertainty quantification, optimization under incomplete information, and reactive planning strategies. We aim to establish robust approaches for fallback mechanisms and alternative behavioral patterns – essential foundations for future autonomous systems deployment.