ANZCC 2019 Paper Abstract


Paper TA1.10

Macktoobian, Matin (Swiss Federal Institute of Technology in Lausanne (EPFL)), Gillet, Denis (Swiss Federal Institute of Technology in Lausanne (EPFL)), Kneib, Jean-Paul (Swiss Federal Institute of Technology in Lausanne (EPFL))

Heterogeneous Target Assignment to Robotic Fiber Positioner Systems

Scheduled for presentation during the Regular Session "Complex and Nonlinear Systems" (TA1), Thursday, November 28, 2019, 12:30−12:45, WZ Building Room WZ416

2019 Australian & New Zealand Control Conference (ANZCC), November 27-29, 2019, Auckland, New Zealand

This information is tentative and subject to change. Compiled on September 25, 2020

Keywords Robotics, Complex Systems, Control Applications


The target assignment methods applied to robotic fiber positioners are only applicable to homogeneous sets of targets to be observed. However, different batches of robotic fiber positioners available at the focal plane of a telescope can be simultaneously used in various applications. Those applications may be intrinsically different, say, some may seek astronomical observations, whereas the others may focus on space operations such as space debris detection. The current target assignment algorithms cannot handle these heterogeneous scenarios. This paper proposes an efficient multilinear algorithm to assign robotic fiber positioners to heterogeneous targets. We classify the targets based on their required exposure times. We also take the priority of observations compared to other operations into account during an assignment processes. Our algorithm assigns a bundle of robotic positioners to each dynamic target to efficiently detect it. We finally illustrate our algorithm's application using a simulated example.



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