引导星虫:为TAIPAN路由自主光纤定位器

N. Fernando, C. Bacigalupo, T. Farrell, N. Lorente
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引用次数: 2

摘要

由澳大利亚天文光学(AAO) -麦考瑞大学开发的TAIAPAN仪器,部署了159个Starbug机器人,将光纤定位在1.2米英国施密特望远镜焦平面上的32厘米玻璃场板上。为仪器创建的Starbug路由算法允许自主机器人达到指定目标的0.5弧秒精度。它采用3个阶段的分层方法,为复杂性和计算成本不断增加的星虫寻找无碰撞路径。对于每个Starbug,都是使用直接的同步移动来尝试路径。如果失败,则随后尝试更复杂(和昂贵)的方法,直到找到有效路径或丢弃目标。该系统使用MongoDB数据库来记录和检索星虫的位置和属性,从而可以进行原位重新路由。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Steering Starbugs: routing autonomous fibre positioners for TAIPAN
The TAIAPAN instrument, being developed by the Australian Astronomical Optics (AAO) - Macquarie University, deploys 159 Starbug robots to position optical fibers on a 32 cm glass field plate on the focal plane of the 1.2 m UK-Schmidt telescope. The Starbug Routing algorithm created for the instrument allows the autonomous robots to reach accuracies of 0.5 arcsec of the assigned target. It employs a 3 stage tiered approach to find a collision-free path for Starbugs of increasing complexity and computational cost. For each Starbug a path is attempted using a direct simultaneous movement. If unsuccessful, subsequently more complex (and expensive) methods are tried until a valid path is found or the target is discarded. The system uses a MongoDB database to record and retrieve starbug locations and properties which allow in-situ re-routing to take place as well.
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