Robust team decision-making under uncertainty

This paper is concerned with multi-agent team modelling and robust decision-making problems arising in mission planning under uncertainty. We consider multi-agent planning problem with task coordination using stochastic programming. Agents within a centralised team cooperate so that the expected team performance is maximised. The success of each agent to accomplish any task is critical for the team performance. Inaccuracy on estimation of uncertain success probability is addressed using robust optimisation where different uncertainty sets are considered. Robust optimisation computes the optimal task allocation simultaneously with worst-case by taking into account of all scenarios. The computational results show trade-off between team efficiency and robustness of solution