activity
20202025
most citedReal-time System Identification Using Deep Learning for Linear Processes with Application to Unmanned Aerial Vehicles

55 citations · 188 across the 13 of their papers we have counts for

collaborators

13 papers

cs.RO2025★ 1 cited

They See Me Rolling: High-Speed Event Vision-Based Tactile Roller Sensor for Large Surface Inspection

Akram Khairi, Hussain Sajwani, Abdallah Mohammad Alkilany +7

Inspecting large-scale industrial surfaces like aircraft fuselages for quality control requires capturing their precise 3D surface geometry at high resolution. Vision-based tactile…

cs.CV2023★ 27 cited

E-Calib: A Fast, Robust and Accurate Calibration Toolbox for Event Cameras

Mohammed Salah, Abdulla Ayyad, Muhammad Humais +5

Event cameras triggered a paradigm shift in the computer vision community delineated by their asynchronous nature, low latency, and high dynamic range. Calibration of event cameras…

cs.RO2023★ 2 cited

High Speed Neuromorphic Vision-Based Inspection of Countersinks in Automated Manufacturing Processes

Mohammed Salah, Abdulla Ayyad, Mohammed Ramadan +5

Countersink inspection is crucial in various automated assembly lines, especially in the aerospace and automotive sectors. Advancements in machine vision introduced automated robot…

cs.CV2023★ 6 cited

A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment

Xiaoqian Huang, Kachole Sanket, Abdulla Ayyad +3

Taking advantage of an event-based camera, the issues of motion blur, low dynamic range and low time sampling of standard cameras can all be addressed. However, there is a lack of…

cs.CV2022

A Neuromorphic Vision-Based Measurement for Robust Relative Localization in Future Space Exploration Missions

Mohammed Salah, Mohammed Chehadah, Muhammed Humais +5

Space exploration has witnessed revolutionary changes upon landing of the Perseverance Rover on the Martian surface and demonstrating the first flight beyond Earth by the Mars heli…

cs.RO2022★ 4 cited

Neuromorphic Vision Based Control for the Precise Positioning of Robotic Drilling Systems

Abdulla Ayyad, Mohamad Halwani, Dewald Swart +3

The manufacturing industry is currently witnessing a paradigm shift with the unprecedented adoption of industrial robots, and machine vision is a key perception technology that ena…

cs.CV2021★ 50 cited

Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers

Yusra Alkendi, Rana Azzam, Abdulla Ayyad +3

Neuromorphic vision is a bio-inspired technology that has triggered a paradigm shift in the computer-vision community and is serving as a key-enabler for a multitude of application…

cs.RO2021★ 1 cited

Real-Time Grasping Strategies Using Event Camera

Xiaoqian Huang, Mohamad Halwani, Rajkumar Muthusamy +5

Robotic vision plays a key role for perceiving the environment in grasping applications. However, the conventional framed-based robotic vision, suffering from motion blur and low s…

cs.RO2021★ 1 cited

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…

cs.RO2021

Systematic Online Tuning of Multirotor UAVs for Accurate Trajectory Tracking Under Wind Disturbances and In-Flight Dynamics Changes

Abdulaziz Y. Alkayas, Mohamad Chehadeh, Abdulla Ayyad +1

The demand for accurate and fast trajectory tracking for multirotor Unmanned Aerial Vehicles (UAVs) have grown recently due to advances in UAV avionics technology and application d…

eess.SY2020

Multirotors from Takeoff to Real-Time Full Identification Using the Modified Relay Feedback Test and Deep Neural Networks

Abdulla Ayyad, Mohamad Chehadeh, Pedro Silva +4

Low cost real-time identification of multirotor unmanned aerial vehicle (UAV) dynamics is an active area of research supported by the surge in demand and emerging application domai…

eess.SY2020★ 55 cited

Real-time System Identification Using Deep Learning for Linear Processes with Application to Unmanned Aerial Vehicles

Abdulla Ayyad, Mohamad Chehadeh, Mohammad I. Awad +1

This paper proposes a novel parametric identification approach for linear systems using Deep Learning (DL) and the Modified Relay Feedback Test (MRFT). The proposed methodology uti…

cs.RO2020★ 41 cited

Neuromorphic Eye-in-Hand Visual Servoing

Rajkumar Muthusamy, Abdulla Ayyad, Mohamad Halwani +3

Robotic vision plays a major role in factory automation to service robot applications. However, the traditional use of frame-based camera sets a limitation on continuous visual fee…