Paper accepted in Neural Computing and Applications

Our paper, titled “Deep Recurrent Q-learning for Energy-constrained Coverage with a Mobile Robot“, has been accepted for publication in Neural Computing and Applications (NCAA) journal. The lead author of this paper, Mr. Aaron Zellner, is a recent graduate of the School of Computing at UNF.

NCAA has an impact factor of 5.102 and it’s ranked #13 among all AI publications according to Google Scholar.

Paper accepted at ICRA ’22

Our paper “Secure Multi-Robot Information Sampling with Periodic and Opportunistic Connectivity” has been accepted for publication at the 2022 IEEE International Conference on Robotics and Automation (ICRA).

ICRA is the #1 robotics conference and has an H5-index of 105. This is the second paper in the series that proposes solutions for “secure multi-robot information sampling”. Our research in this paper is sponsored by an NSF-CPS grant.

Congratulations to Tamim for this ICRA publication 🙂

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