Rendezvous Scheduling for Charging Coordination Between Aerial Robot - Mobile Ground Robot

A. Eker, Ahmet Öncü, H. I. Bozma
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Abstract

This paper studies the problem of rendezvous scheduling between an energy-limited aerial robot (AR) and a mobile ground robot (MGR). If the AR cannot complete its mission in a single sortie, it has to recharge at scheduled locations and times with the MGR acting as a mobile charging station. Differing from previous work, the visit order of the waypoints is assumed to be determined a priori using one of the available algorithms for pathfinding or area coverage. We consider two alternative cases depending on whether the AR can land prior to the arrival of the MGR or it has to hover in the air and wait for its arrival. Our approach to each is motivated by the principle of optimality - namely the corresponding constrained optimization problem is decomposed into smaller problems whose solutions are then integrated together. Their solutions are found from a binary search tree of charge selections that evolves iteratively using a tree sort algorithm. The advantage of this approach is that as the focus is on the scheduling aspect, the algorithm becomes relatively more tractable and realistically applicable. Our simulation results demonstrate that the optimal rendezvous schedule can be determined in realizable time even for large-scale missions.
空中机器人与地面移动机器人充电协调的交会调度
研究了能量受限型空中机器人(AR)与地面移动机器人(MGR)的交会调度问题。如果AR不能在一次出击中完成其任务,它必须在预定的地点和时间充电,MGR充当移动充电站。与以前的工作不同,路径点的访问顺序假设是使用一种可用的寻路或区域覆盖算法先验地确定的。我们考虑两种可选的情况,取决于AR是否可以在MGR到达之前着陆,或者它必须在空中悬停并等待其到达。我们的方法是由最优性原则驱动的-即相应的约束优化问题被分解成更小的问题,然后将其解决方案集成在一起。它们的解是通过使用树排序算法迭代进化的电荷选择二叉搜索树来找到的。这种方法的优点是,由于重点是在调度方面,算法变得相对容易处理和现实适用。仿真结果表明,即使是大型任务,也可以在可实现时间内确定最优交会调度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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