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MANUKYAN Anush

Main Referenced Co-authors
OLIVARES MENDEZ, Miguel Angel  (3)
VOOS, Holger  (3)
Geist, Matthieu (2)
BISSYANDE, Tegawendé  (1)
LE TRAON, Yves  (1)
Main Referenced Keywords
UAV (3); kNN (2); Reinforcement Learning (2); Degradation identification (1); DTW (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Automation & Robotics Research Group (3)
Main Referenced Disciplines
Computer science (4)

Publications (total 4)

The most downloaded
917 downloads
Manukyan, A., Olivares Mendez, M. A., Geist, M., & Voos, H. (2017). Real time degradation identification of UAV using machine learning techniques. In International Conference on Unmanned Aircraft Systems ICUAS. Miami, USA, 2017. IEEE. https://hdl.handle.net/10993/32968

The most cited

12 citations (Scopus®)

Manukyan, A., Olivares Mendez, M. A., Geist, M., & Voos, H. (2017). Real time degradation identification of UAV using machine learning techniques. In International Conference on Unmanned Aircraft Systems ICUAS. Miami, USA, 2017. IEEE. https://hdl.handle.net/10993/32968

Manukyan, A. (2020). Learning of Control Behaviours in Flying Manipulation [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/44444

Manukyan, A., Olivares Mendez, M. A., Geist, M., & Voos, H. (2019). Deep Reinforcement Learning based Continuous Control for Multicopter Systems. In International Conference on Control, Decision and Information CoDIT, Paris 23-26 April 2019. IEEE.
Peer reviewed

Manukyan, A., Olivares Mendez, M. A., Geist, M., & Voos, H. (2017). Real time degradation identification of UAV using machine learning techniques. In International Conference on Unmanned Aircraft Systems ICUAS. Miami, USA, 2017. IEEE.
Peer reviewed

Manukyan, A., Olivares Mendez, M. A., Bissyande, T. F. D. A., Voos, H., & Le Traon, Y. (2016). UAV degradation identification for pilot notification using machine learning techniques. Proceedings of 21st IEEE International Conference on Emerging Technologies and Factory Automation ETFA 2016. doi:10.1109/ETFA.2016.7733537
Peer reviewed

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