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Our most recent publications is a conference paper entitled “Autonomous Multi-agent Systems Using SVGS Camera Sensor for Lunar Surface Mobility Applications” and has been published by the IEEE.


There are significant research challenges for design of a reliable mechanism of operation in autonomous multi-agent systems (MAS). This demands several fundamental advances in distributed localization, guidance, navigation, and state estimation. Control and coordination of a team of mobile robots for cooperative functions in harsh and remote environments in space is an even greater challenge than the MAS systems on earth’s surface. In particular, as opposed to dealing with single system dynamics, here the problem is the dynamics and consensus of the entire swarm state. Our goal is to study the Smartphone Video Guidance System (SVGS) camera system as a potential navigation camera sensor and create a framework to obtain relative and global states of multi-agent groups. The goal is for rovers to obtain a reliable estimation of the other agents through a decentralized state estimation method, targeted at robots searching for water-ice in the challenging domain of the lunar south pole.


Fekrmandi, Hadi, Alexander J. Frye, Amirhossein Tamjidi, John Rakoczy, and Randy C. Hoover. “Autonomous Multi-agent Systems Using SVGS Camera Sensor for Lunar Surface Mobility Applications.” In 2021 IEEE Aerospace Conference (50100), pp. 1-10. IEEE, 2021. DOI: 10.1109/AERO50100.2021.9438414

Our abstract has been accepted by 2022 IEEE Aerospace Conference

Our conference paper has been published by 2021 IEEE Aerospace Conference.

Our conference paper has been published by SPIE smart structures and NDE for industry 4.0 Conference 2018.

Our patent 2020 application to the USPTO has been published.

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