Andriy Sarabakha
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Type-2 fuzzy logic controllers made even simpler: From design to deployment for UAVs
A Sarabakha, C Fu, E Kayacan, T Kumbasar
IEEE Transactions on Industrial Electronics 65 (6), 5069-5077, 2017
Input uncertainty sensitivity enhanced nonsingleton fuzzy logic controllers for long-term navigation of quadrotor UAVs
C Fu, A Sarabakha, E Kayacan, C Wagner, R John, JM Garibaldi
IEEE/ASME Transactions on Mechatronics 23 (2), 725-734, 2018
Novel Levenberg–Marquardt based learning algorithm for unmanned aerial vehicles
A Sarabakha, N Imanberdiyev, E Kayacan, MA Khanesar, H Hagras
Information Sciences 417, 361-380, 2017
Online deep fuzzy learning for control of nonlinear systems using expert knowledge
A Sarabakha, E Kayacan
IEEe transactions on fuzzy systems 28 (7), 1492-1503, 2019
Type-2 fuzzy elliptic membership functions for modeling uncertainty
E Kayacan, A Sarabakha, S Coupland, R John, MA Khanesar
Engineering Applications of Artificial Intelligence 70, 170-183, 2018
Intuit before tuning: Type-1 and type-2 fuzzy logic controllers
A Sarabakha, C Fu, E Kayacan
Applied Soft Computing 81, 105495, 2019
An intelligent hybrid artificial neural network-based approach for control of aerial robots
S Patel, A Sarabakha, D Kircali, E Kayacan
Journal of Intelligent & Robotic Systems 97 (2), 387-398, 2020
Y6 tricopter autonomous evacuation in an indoor environment using Q-learning algorithm
A Sarabakha, E Kayacan
2016 IEEE 55th conference on decision and control (CDC), 5992-5997, 2016
Online deep learning for improved trajectory tracking of unmanned aerial vehicles using expert knowledge
A Sarabakha, E Kayacan
2019 International Conference on Robotics and Automation (ICRA), 7727-7733, 2019
Knowledge transfer between robots with similar dynamics for high-accuracy impromptu trajectory tracking
S Zhou, MK Helwa, AP Schoellig, A Sarabakha, E Kayacan
2019 18th European Control Conference (ECC), 1-8, 2019
A comparative study on the control of quadcopter uavs by using singleton and non-singleton fuzzy logic controllers
C Fu, A Sarabakha, E Kayacan, C Wagner, R John, JM Garibaldi
2016 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1023-1030, 2016
Image generation for efficient neural network training in autonomous drone racing
T Morales, A Sarabakha, E Kayacan
2020 International joint conference on neural networks (IJCNN), 1-8, 2020
Pencilnet: Zero-shot sim-to-real transfer learning for robust gate perception in autonomous drone racing
HX Pham, A Sarabakha, M Odnoshyvkin, E Kayacan
IEEE Robotics and Automation Letters 7 (4), 11847-11854, 2022
Gatenet: An efficient deep neural network architecture for gate perception using fish-eye camera in autonomous drone racing
HX Pham, I Bozcan, A Sarabakha, S Haddadin, E Kayacan
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
Double-input interval type-2 fuzzy logic controllers: Analysis and design
A Sarabakha, C Fu, E Kayacan
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017
Similarity-based non-singleton fuzzy logic control for improved performance in UAVs
C Fu, A Sarabakha, E Kayacan, C Wagner, R John, JM Garibaldi
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017
Towards remote robotic competitions: An internet-connected task board and dashboard
P So, J Wittmann, P Ruhkamp, A Sarabakha, S Haddadin
arXiv preprint arXiv:2201.09565, 2022
Artificial neural network-assisted controller for fast and agile UAV flight: Onboard implementation and experimental results
S Patel, A Sarabakha, D Kircali, G Loianno, E Kayacan
2019 Workshop on Research, Education and Development of Unmanned Aerial …, 2019
Model-based degradation prediction on impedance data and artificial neural network for high-temperature polymer electrolyte membrane fuel cells after hydrogen starvation
K Yezerska, A Dushina, A Sarabakha, P Wagner, A Dyck, M Wark
International Journal of Hydrogen Energy 47 (68), 29495-29504, 2022
Digital Robot Judge: Building a Task-centric Performance Database of Real-World Manipulation With Electronic Task Boards
P So, A Sarabakha, F Wu, U Culha, FJ Abu-Dakka, S Haddadin
IEEE Robotics & Automation Magazine, 2024
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