A Simulation-Based Framework for Generating Alerts for Human-Supervised Multi-Robot Teams in Challenging Environments

In a multi-agent mission with failures, uncertainty, complex dependencies, and intermittent information flow, the role of human supervisors is stressful and challenging. Alerts based on future mission predictions can be useful to assist the supervisors in responding to mission updates quickly, and devise more effective strategies. Monte-Carlo forward simulations can be used to estimate future miss...