News Archives - Robotics, Navigation, and Control Systems Laboratory

Hussein Journal Paper is Published

HashimMohamed — Mon, 09 Mar 2026 15:40:44 +0000

Congratulations Hussein Naser for your recent published paper acceptance addressing wrench estimation of human-UAV physical interaction.

H. Naser, H. A. Hashim, and M. Ahmadi, “Quaternion-based unscented Kalman filter for robust wrench estimation of human-UAV physical interaction,” Signal Processing, Vol. 245, pp. 110582, 2026.

Fatemeh paper got Accepted in 2026 IEEE American Control Conference

HashimMohamed — Thu, 19 Feb 2026 14:35:02 +0000

Congratulations Fatemeh for your paper acceptance in the top technical control conference 2026 IEEE American Control Conference (ACC).

The paper presents: A Quaternion-based Attitude Tracking Control of UAVs using Model Predictive Control and Prescribed Performance Approaches

Hussein paper got Accepted in IEEE International Conference on Robotics & Automation (ICRA)

HashimMohamed — Thu, 19 Feb 2026 14:31:57 +0000

Congratulations Hussein Naser for your paper acceptance in the top technical Robotics conference 2026 IEEE International Conference on Robotics & Automation (ICRA).

The paper presents: Adaptive Gain Nonlinear Observer for External Wrench Estimation in Human-UAV Physical Interaction

Khashayar Journal Paper on DeepUKF-VIN for GPS-denied Visual Inertial Navigation using IMU-Vision-Net is Published

HashimMohamed — Sat, 01 Feb 2025 07:23:33 +0000

Congratulations! Khashayar journal paper for “DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net,” has been published in Expert Systems With Applications.

Ali and Hussein papers got Accepted in IEEE American Control Conference

HashimMohamed — Tue, 21 Jan 2025 00:30:33 +0000

Congratulations Ali M Ali and Hussein Naser for your papers acceptance in the top technical control conference 2025 IEEE American Control Conference (ACC).

One paper presents: A Unified Finite-Time Sliding Mode Quaternion-based Tracking Control for Quadrotor UAVs without Time-Scale Separation

The other paper presents: Human Physical Interaction based on UAV Cooperative Payload Transportation System using Adaptive Backstepping and FNTSMC

Khashayar defended his MASc Thesis

HashimMohamed — Fri, 17 Jan 2025 23:05:06 +0000

Congratulations Khashayar Ghanizadegan for the great defence presentation, well-written thesis, and novel GPS-denied navigation solutions applicable for UAVs and ground vehicles!

We wish you all the best in your future steps.

Khashayar Journal Paper on Unscented Kalman Filter for Vision-based Inertial Navigation in GPS-denied Regions is Published

HashimMohamed — Tue, 14 Jan 2025 23:54:35 +0000

Congratulations! Khashayar journal paper for “Quaternion-based Unscented Kalman Filter for 6-DoF Vision-based Inertial Navigation in GPS-denied Regions,” has been published in IEEE Transactions on Instrumentation and Measurement. Keep the good work!

Hussein Journal Paper on Aerial Assistive Payload Transportation Using Quadrotor UAVs for Human Physical Interaction is Published

HashimMohamed — Mon, 13 Jan 2025 23:21:24 +0000

Congratulations! Hussein journal paper for “Aerial Assistive Payload Transportation Using Quadrotor UAVs with Nonsingular Fast Terminal SMC for Human Physical Interaction,” has been published in Results in Engineering. Keep the good work!

Arezo Journal Paper on Adaptive Backstepping and Sliding Mode Control for Quadrotor UAVs is Published

HashimMohamed — Mon, 08 Jul 2024 14:15:09 +0000

Congratulations! Arezo journal paper for Quaternion-based Adaptive Backstepping Fast Terminal Sliding Mode Control for Quadrotor UAVs with Finite Time Convergence has been published in Results in Engineering.

Ali and Aryaman Journal Paper on Deep Reinforcement Learning for Quadrotor UAVs Docking Operations is Published

HashimMohamed — Sun, 16 Jun 2024 13:19:15 +0000

Ali and Aryaman journal paper for Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs Offshore Docking Operations has been published in Applied Soft Computing. Congratulations and we are looking forward for more!