6 citations · 12 across the 5 of their papers we have counts for
5 papers
Fuzzy Ensembles of Reinforcement Learning Policies for Robotic Systems with Varied Parameters
Abdel Gafoor Haddad, Mohammed B. Mohiuddin, Igor Boiko +1
Reinforcement Learning (RL) is an emerging approach to control many dynamical systems for which classical control approaches are not applicable or insufficient. However, the result…
Reinforcement Learning Generalization for Nonlinear Systems Through Dual-Scale Homogeneity Transformations
Abdel Gafoor Haddad, Igor Boiko, Yahya Zweiri
Reinforcement learning is an emerging approach to control dynamical systems for which classical approaches are difficult to apply. However, trained agents may not generalize agains…
Relay-based identification of Aerodynamic and Delay Sensor Dynamics with applications for Unmanned Aerial Vehicles
Anees Peringal, Mohamad Chehadeh, Igor Boiko +1
In this paper, we present a real-time system identification method based on relay feedback testing with applications to multirotor unmanned aerial vehicles. The proposed identifica…
Design of Dynamics Invariant LSTM for Touch Based Human-UAV Interaction Detection
Anees Peringal, Mohamad Chehadeh, Rana Azzam +3
The field of Unmanned Aerial Vehicles (UAVs) has reached a high level of maturity in the last few years. Hence, bringing such platforms from closed labs, to day-to-day interactions…
Noise Tolerant Identification and Tuning Approach Using Deep Neural Networks For Visual Servoing Applications
Oussama Abdul Hay, Mohamad Chehadeh, Abdulla Ayyad +4
Vision based control of Unmanned Aerial Vehicles (UAVs) has been adopted by a wide range of applications due to the availability of low-cost on-board sensors and computers. Tuning…