55 citations · 247 across the 15 of their papers we have counts for
15 papers
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…
Neuromorphic Vision-based Motion Segmentation with Graph Transformer Neural Network
Yusra Alkendi, Rana Azzam, Sajid Javed +2
Moving object segmentation is critical to interpret scene dynamics for robotic navigation systems in challenging environments. Neuromorphic vision sensors are tailored for motion p…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Neuromorphic Event-Based Slip Detection and suppression in Robotic Grasping and Manipulation
Rajkumar Muthusamy, Xiaoqian Huang, Yahya Zweiri +2
Slip detection is essential for robots to make robust grasping and fine manipulation. In this paper, a novel dynamic vision-based finger system for slip detection and suppression i…