摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器人的研究成果在一份新的报告中被使用。据新闻报道来自印第安纳州西拉斐特的报道，由NewsRx记者报道，研究表明，"我们引入"一种基于图新算子的异构机器人任务分配方法由无人地面飞行器(UGVs)和无人驾驶飞行器（UA Vs）组成。提议的模型、GATAR或图注意任务分配器聚集多机器人邻居的信息系统，目的是实现总体最优目标定位。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Robotics are disc ussed in a new report. According to newsreporting originating in West Lafayette , Indiana, by NewsRx journalists, research stated, “We introducea new graph neu ral operator-based approach for task allocation in a system of heterogeneous rob otscomposed of Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UA Vs). The proposedmodel, GATAR, or Graph Attention Task AllocatoR aggregates inf ormation from neighbors in the multirobotsystem, with the aim of achieving glo bally optimal target localization.”
NETL
NSTL