Mohammad Chehadeh
Orcid: 0000-0002-9430-3349Affiliations:
- Khalifa University, Khalifa University Center for Autonomous Robotic Systems, Abu Dhabi, United Arab Emirates
According to our database1,
Mohammad Chehadeh
authored at least 18 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Robotics Autom. Lett., October, 2024
IEEE Trans. Aerosp. Electron. Syst., June, 2024
Generating Oscillations on UAVs with the Modified Relay Feedback Test in Outdoor Environments.
Proceedings of the 17th International Workshop on Variable Structure Systems, 2024
2023
Noise-Tolerant Identification and Tuning Approach Using Deep Neural Networks for Visual Servoing Applications.
IEEE Trans. Robotics, June, 2023
Relay-based identification of Aerodynamic and Delay Sensor Dynamics with applications for Unmanned Aerial Vehicles.
CoRR, 2023
The Role of Time Delay in Sim2real Transfer of Reinforcement Learning for Unmanned Aerial Vehicles.
Proceedings of the 21st International Conference on Advanced Robotics, 2023
2022
Multirotors From Takeoff to Real-Time Full Identification Using the Modified Relay Feedback Test and Deep Neural Networks.
IEEE Trans. Control. Syst. Technol., 2022
The Role of Time Delay in Sim2real Transfer of Reinforcement Learning for Cyber-Physical Systems.
CoRR, 2022
Analysis of the Effect of Time Delay for Unmanned Aerial Vehicles with Applications to Vision Based Navigation.
CoRR, 2022
IEEE Access, 2022
Systematic Online Tuning of Multirotor UAVs for Accurate Trajectory Tracking Under Wind Disturbances and In-Flight Dynamics Changes.
IEEE Access, 2022
2021
Field Robotics, October, 2021
Unified Identification and Tuning Approach Using Deep Neural Networks For Visual Servoing Applications.
CoRR, 2021
Dynamic Based Estimator for UAVs with Real-time Identification Using DNN and the Modified Relay Feedback Test.
CoRR, 2021
Real-time Identification and Tuning of Multirotors Based on Deep Neural Networks for Accurate Trajectory Tracking Under Wind Disturbances.
CoRR, 2021
2020
Real-Time System Identification Using Deep Learning for Linear Processes With Application to Unmanned Aerial Vehicles.
IEEE Access, 2020
2019
Design of rules for in-flight non-parametric tuning of PID controllers for unmanned aerial vehicles.
J. Frankl. Inst., 2019
2018
Sliding mode differentiator/observer for quadcopter velocity estimation through sensor fusion.
Int. J. Control, 2018