Abstract The number of multi-robot systems deployed in fifield applications has risen dramatically over the years. Nevertheless, supervising and operating multiple robots at once is a diffificult task for a single operator to execute. In this paper we propose a novel approach for utilizing advising automated agents when assisting an operator to better manage a team of multiple robots in complex environments. We introduce the Myopic Advice Optimization (MYAO) Problem and exemplify its implementation using an agent for the Search And Rescue (SAR) task. Our intelligent advising agent was evaluated through extensive fifield trials, with 44 non-expert human operators and 10 low-cost mobile robots, in simulation and physical deployment, and showed a signifificant improvement in both team performance and the operator’s satisfaction