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20242026
most citedNovel Multi-Agent Action Masked Deep Reinforcement Learning for General Industrial Assembly Lines Balancing Problems

3 citations · 4 across the 7 of their papers we have counts for

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7 papers

math.OC2026

A Receding Horizon Control For General Assembly Line Balancing Problems

Ali Mohamed Ali, Luca Tirel

This paper introduces a novel approach to the General Assembly Line Balancing Problem (GALBP) by utilizing a receding horizon optimal control framework. The proposed discrete model…

eess.SY2025

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

Ali M. Ali, Hashim A. Hashim, Awantha Jayasiri

This paper presents a novel design for finite-time position control of quadrotor Unmanned Aerial Vehicles (UAVs). A robust, finite-time, nonlinear feedback controller is introduced…

cs.AI2025★ 3 cited

Novel Multi-Agent Action Masked Deep Reinforcement Learning for General Industrial Assembly Lines Balancing Problems

Ali Mohamed Ali, Luca Tirel, Hashim A. Hashim

Efficient planning of activities is essential for modern industrial assembly lines to uphold manufacturing standards, prevent project constraint violations, and achieve cost-effect…

eess.IV2024

Novel Hybrid Integrated Pix2Pix and WGAN Model with Gradient Penalty for Binary Images Denoising

Luca Tirel, Ali Mohamed Ali, Hashim A. Hashim

This paper introduces a novel approach to image denoising that leverages the advantages of Generative Adversarial Networks (GANs). Specifically, we propose a model that combines el…

cs.RO2024

Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs Offshore Docking Operations

Ali M. Ali, Aryaman Gupta, Hashim A. Hashim

This paper proposes a novel Reinforcement Learning (RL) approach for sim-to-real policy transfer of Vertical Take-Off and Landing Unmanned Aerial Vehicle (VTOL-UAV). The proposed a…

cs.RO2024★ 1 cited

A Linear MPC with Control Barrier Functions for Differential Drive Robots

Ali Mohamed Ali, Chao Shen, Hashim A. Hashim

The need for fully autonomous mobile robots has surged over the past decade, with the imperative of ensuring safe navigation in a dynamic setting emerging as a primary challenge im…

eess.SY2024

MPC Based Linear Equivalence with Control Barrier Functions for VTOL-UAVs

Ali Mohamed Ali, Hashim A. Hashim, Chao Shen

In this work, we propose a cascaded scheme of linear Model prediction Control (MPC) based on Control Barrier Functions (CBF) with Dynamic Feedback Linearization (DFL) for Vertical…