282 citations · 348 across the 18 of their papers we have counts for
6 papers · 1 filter
Supervisory Coordination of Robotic Fiber Positioners in Multi-Object Spectrographs
Matin Macktoobian, Denis Gillet, Jean-Paul Kneib
In this paper, we solve the complete coordination problem of robotic fiber positioners using supervisory control theory. In particular, we model positioners and their behavioral sp…
Learning convergence prediction of astrobots in multi-object spectrographs
Matin Macktoobian, Francesco Basciani, Denis Gillet +1
Astrobot swarms are used to capture astronomical signals to generate the map of the observable universe for the purpose of dark energy studies. The convergence of each swarm in the…
Astrobotics: Swarm Robotics for Astrophysical Studies
Matin Macktoobian, Denis Gillet, Jean-Paul Kneib
This paper introduces the emerging field of astrobotics, that is, a recently-established branch of robotics to be of service to astrophysics and observational astronomy. We first d…
Experimental evaluation of complete safe coordination of astrobots for Sloan Digital Sky Survey V
Matin Macktoobian, Ricardo Araújo, Loïc Grossen +4
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 p…
Complete coordination of robotic fiber positioners for massive spectroscopic surveys
Matin Macktoobian, Denis Gillet, Jean-Paul Kneib
Robotic fiber positioners play a vital role in the generation of massive spectroscopic surveys. The more complete a positioners set is coordinated, the more information its corresp…
Optimal target assignment for massive spectroscopic surveys
Matin Macktoobian, Denis Gillet, Jean-Paul Kneib
Robotics have recently contributed to cosmological spectroscopy to automatically obtain the map of the observable universe using robotic fiber positioners. For this purpose, an ass…