AAO Starbugs: software control and associated algorithms
Nuria P. F. Lorente, Minh V. Vuong, Keith Shortridge, Tony J. Farrell,, Scott Smedley, Sungwook E. Hong, Carlos Bacigalupo, Michael Goodwin, Kyler, Kuehn, and Christophe Satorre

TL;DR
This paper presents the software system and algorithms for controlling 150 Starbug robots in the TAIPAN instrument, focusing on automated collision-free path planning and real-time position tracking to achieve precise fibre positioning.
Contribution
It introduces a tiered, multi-stage path-finding algorithm for collision avoidance and detailed software for monitoring Starbug positions during operation.
Findings
Successful collision-free path planning for all Starbugs
Achieved fibre positioning accuracy of 0.3 arcsec
Efficient automated control system implemented
Abstract
The Australian Astronomical Observatory's TAIPAN instrument deploys 150 Starbug robots to position optical fibres to accuracies of 0.3 arcsec, on a 32 cm glass field plate on the focal plane of the 1.2 m UK-Schmidt telescope. This paper describes the software system developed to control and monitor the Starbugs, with particular emphasis on the automated path-finding algorithms, and the metrology software which keeps track of the position and motion of individual Starbugs as they independently move in a crowded field. The software employs a tiered approach to find a collision-free path for every Starbug, from its current position to its target location. This consists of three path-finding stages of increasing complexity and computational cost. For each Starbug a path is attempted using a simple method. If unsuccessful, subsequently more complex (and expensive) methods are tried until a…
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