282 citations · 348 across the 18 of their papers we have counts for
19 papers
Traffic Divergence Theory: An Analysis Formalism for Dynamic Networks
Matin Macktoobian, Zhan Shu, Qing Zhao
Traffic dynamics is universally crucial in analyzing and designing almost any network. This article introduces a novel theoretical approach to analyzing network traffic dynamics. T…
Topology Recoverability Prediction for Ad-Hoc Robot Networks: A Data-Driven Fault-Tolerant Approach
Matin Macktoobian, Zhan Shu, Qing Zhao
Faults occurring in ad-hoc robot networks may fatally perturb their topologies leading to disconnection of subsets of those networks. Optimal topology synthesis is generally resour…
The Eighteenth Data Release of the Sloan Digital Sky Surveys: Targeting and First Spectra from SDSS-V
Andrés Almeida, Scott F. Anderson, Maria Argudo-Fernández +151
The eighteenth data release of the Sloan Digital Sky Surveys (SDSS) is the first one for SDSS-V, the fifth generation of the survey. SDSS-V comprises three primary scientific progr…
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…
Self-organizing nest migration dynamics synthesis for ant colony systems
Matin Macktoobian
In this study, we synthesize a novel dynamical approach for ant colonies enabling them to migrate to new nest sites in a self-organizing fashion. In other words, we realize ant col…
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…
Automatic Reconfiguration of Untimed Discrete-Event Systems
Matin Macktoobian, W. Murray Wonham
This work introduces a general formulation of the reconfiguration problem for untimed discrete-event systems (DES), which can be treated directly by supervisory control theory (SCT…
Reconfigurable Timed Discrete-Event Systems
Matin Macktoobian
In this paper, we present the first general solution to the automatic reconfiguration problem of timed discrete-event systems. We extend the recursive forcible backtracking approac…
Meta Navigation Functions: Adaptive Associations for Coordination of Multi-Agent Systems
Matin Macktoobian, Guillaume Ferdinand Duc
In this paper, we introduce a new class of potential fields, i.e., meta navigation functions (MNFs) to coordinate multi-agent systems. Thanks to the MNF formulation, agents can con…
Learning Optimal Topology for Ad-hoc Robot Networks
Matin Macktoobian, Zhan Shu, Qing Zhao
In this paper, we synthesize a data-driven method to predict the optimal topology of an ad-hoc robot network. This problem is technically a multi-task classification problem. Howev…
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…
Data-Driven Convergence Prediction of Astrobots Swarms
Matin Macktoobian, Francesco Basciani, Denis Gillet +1
Astrobots are robotic artifacts whose swarms are used in astrophysical studies to generate the map of the observable universe. These swarms have to be coordinated with respect to v…
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…
On the Formal Development of Behavioral Reactive Agents: A Systematic Braitenberg-Vehicle Approach
Matin Macktoobian, Ahmad T Khataminejad
In this paper, a novel process has been developed to realize high-level complex cognitive behaviors into reactive agents, efficiently. This method paves the way for deducting high-…
Applied Neural Cross-Correlation into the Curved Trajectory Detection Process for Braitenberg Vehicles
Matin Macktoobian, Mohammad Jafari, Erfan Attarzadeh Gh
Curved Trajectory Detection (CTD) process could be considered among high-level planned capabilities for cognitive agents, has which been acquired under aegis of embedded artificial…
Curved Trajectory Detection : A Novel Neurocognitive Perception Approach for Autonomous Smart Robots
Matin Macktoobian
Braitenberg vehicles could be mentioned as the seminal elements for cognitive studies in robotics fields especially neurorobotics to invent more smart robots. Motion detection of d…
Bi-directioal Motion Detection: A Neural Intelligent Model For Perception of Cognitive Robots
Matin Macktoobian
In this paper, a new neuronal circuit, based on the spiking neuronal network model, is proposed in order to detect the movement direction of dynamic objects wandering around cognit…