activity
20202022
most citedNeuromorphic Vision Based Control for the Precise Positioning of Robotic Drilling Systems

4 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO20224 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.RO20211 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

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

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…