海洋自主航行器编队调度：科研价值最大化
原标题：Marine Autonomous Vehicle Fleet Scheduling to Maximise Scientific Impact
产业动态AI 65
来源：arXiv cs.RO发布时间待核实
arXiv:2608.27271v1 Announce Type: cross Abstract: The marine science community increasingly relies on Marine Autonomous Vehicles (MAVs) to collect the critical environmental data required to understand global ocean systems. However, as these operations scale, manually routing and planning large autonomous fleets becomes exponentially complex and time-consuming. To address this, we propose a mixed-integer linear programming (MILP) model designed to automate and optimise MAV deployment schedules.