The data throughput of massive spectroscopic surveys in the course of each observation is directly coordinated with the number of optical fibers which reach their target. In this paper, we evaluate the safety and the performance of the astrobots coordination in SDSS-V by conducting various experimental and simulated tests. We illustrate that our strategy provides a complete coordination condition which depends on the operational characteristics of astrobots, their configurations, and their targets. Namely, a coordination method based on the notion of cooperative artificial potential fields is used to generate safe and complete trajectories for astrobots. Optimal target assignment further improves the performance of the used algorithm in terms of faster convergences and less oscillatory movements. Both random targets and galaxy catalog targets are employed to observe the coordination success of the algorithm in various target distributions. The proposed method is capable of handling all potential collisions in the course of coordination. Once the completeness condition is fulfilled according to initial configuration of astrobots and their targets, the algorithm reaches full convergence of astrobots. Should one assign targets to astrobots using efficient strategies, convergence time as well as the number of oscillations decrease in the course of coordination. Rare incomplete scenarios are simply resolved by trivial modifications of astrobots swarms’ parameters.

中文翻译：

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斯隆数字巡天 V 天体机器人完全安全协调的实验评估

每次观测过程中海量光谱勘测的数据吞吐量与到达目标的光纤数量直接协调。在本文中，我们通过进行各种实验和模拟测试来评估 SDSS-V 中天体机器人协调的安全性和性能。我们说明我们的策略提供了一个完整的协调条件，这取决于太空机器人的操作特性、它们的配置和它们的目标。即，基于协作人工势场概念的协调方法用于为太空机器人生成安全且完整的轨迹。最佳目标分配在更快的收敛和更少的振荡运动方面进一步提高了所用算法的性能。随机目标和星系目录目标都被用来观察算法在各种目标分布中的协调成功。所提出的方法能够处理协调过程中的所有潜在冲突。一旦根据天体机器人及其目标的初始配置满足完整性条件，算法就达到天体机器人的完全收敛。如果使用有效的策略为 astrobots 分配目标，则收敛时间以及协调过程中的振荡次数会减少。罕见的不完整场景可以通过对 astrobots 群的参数进行微不足道的修改来解决。所提出的方法能够处理协调过程中的所有潜在冲突。一旦根据天体机器人及其目标的初始配置满足完整性条件，算法就达到天体机器人的完全收敛。如果使用有效的策略为 astrobots 分配目标，则收敛时间以及协调过程中的振荡次数会减少。罕见的不完整场景可以通过对 astrobots 群的参数进行微不足道的修改来解决。所提出的方法能够处理协调过程中的所有潜在冲突。一旦根据天体机器人及其目标的初始配置满足完整性条件，算法就达到天体机器人的完全收敛。如果使用有效的策略为 astrobots 分配目标，则收敛时间以及协调过程中的振荡次数会减少。罕见的不完整场景可以通过对 astrobots 群的参数进行微不足道的修改来解决。协调过程中收敛时间和振荡次数减少。罕见的不完整场景可以通过对 astrobots 群的参数进行微不足道的修改来解决。协调过程中收敛时间和振荡次数减少。罕见的不完整场景可以通过对 astrobots 群的参数进行微不足道的修改来解决。