Alert Generation Framework of Multi-Robots

In this work we present a Forward Simulation-based Alert System that proactively notifies the human supervisor of possible, negatively-impactful events, which provides an opportunity for the human to retask agents to avoid undesirable scenarios. We propose methods for speeding up mission simulations and extracting alerts from simulation data in order to enable real-time alert generation suitable for time-critical missions. We present the results from a user trial and verify our hypothesis that the decision making performance of human supervisors can be improved by introducing forward simulation-based alerts.


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