Mohammad Chehadeh

Orcid: 0000-0002-9430-3349

Affiliations:
  • Khalifa University, Khalifa University Center for Autonomous Robotic Systems, Abu Dhabi, United Arab Emirates


According to our database1, Mohammad Chehadeh authored at least 15 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

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

Design of Dynamics Invariant LSTM for Touch Based Human-UAV Interaction Detection.
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
Aerial firefighting system for suppression of incipient cladding fires.
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


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