1.Title: DARC: Disturbance-Aware Redundant Control for Human–Robot Co-Transportatio
Journal: Electronics, Vol. 14, No. 12, June 2025
DOI: 10.3390/electronics14122480
Contributors: Al Jaber Mahmud, Amir Hossain Raj, Duc M. Nguyen, Xuesu Xiao, Xuan Wang
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
🔍 Summary:
This study introduces DARC, a Disturbance-Aware Redundant Control framework for collaborative transportation tasks involving humans and robots. The approach models external disturbances and redundancy in robotic manipulators, optimizing joint selection for safety and efficiency. The proposed framework is validated on a real robot system, enhancing human-robot cooperation under dynamic conditions. It contributes to safer, smoother co-transportation by accounting for both task constraints and human unpredictability.
2.Title: Human Uncertainty-Aware MPC for Enhanced Human-Robot Collaborative Manipulation
Conference: 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS)
Date: May 12, 2024
DOI: 10.1109/icps59941.2024.10640020
Contributors: Al Jaber Mahmud, Duc M. Nguyen, Filipe Veiga, Xuesu Xiao, Xuan Wang
🔍 Summary:
This paper presents a novel Model Predictive Control (MPC) strategy that incorporates human uncertainty modeling in collaborative robot manipulation. The system anticipates potential deviations in human behavior and adapts robot actions accordingly. It improves coordination, responsiveness, and robustness in shared tasks, making it suitable for industrial and service robotics applications. Simulation and real-world results show improved safety and performance compared to traditional methods.
3.Title: Optimal Control and Performance Enhancement of DC-DC Bidirectional SEPIC Converter
Conference: 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
Date: October 26, 2022
DOI: 10.1109/uemcon54665.2022.9965670
Contributors: Al Jaber Mahmud, Mehedi Hasan Mithun, Md. Ashik Khan, Fahim Faisal, Mirza Muntasir Nishat, Md. Ashraful Hoque
🔍 Summary:
This paper proposes an optimal control strategy for a bidirectional SEPIC (Single-Ended Primary Inductor Converter), improving voltage regulation and system stability. It compares performance under varying loads and control schemes. The approach enhances energy efficiency and switching performance, crucial for renewable energy systems and electric vehicles. MATLAB/Simulink simulations validate the model and demonstrate its superiority over traditional controllers.
4.Title: Performance and Comparative Analysis of PI and PID Controller-based Single Phase PWM Inverter Using MATLAB Simulink for Variable Voltage
Conference: 2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
Date: June 1, 2022
DOI: 10.1109/icaect54875.2022.9807857
Contributors: Al Jaber Mahmud
🔍 Summary:
This work evaluates PI and PID control strategies for a single-phase Pulse Width Modulation (PWM) inverter using simulation in MATLAB Simulink. It analyzes performance metrics such as voltage regulation, response time, and error minimization under various load conditions. Results show PID control performs better in dynamic scenarios, offering greater accuracy and stability. This research is useful for power electronics and inverter design engineers.
5.Title: Firefly Algorithm Based Optimized PID Controller for Stability Analysis of DC-DC SEPIC Converter
Conference: 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
Date: January 10, 2022
DOI: 10.1109/uemcon53757.2021.9666555
Contributors: Al Jaber Mahmud
🔍 Summary:
This paper applies the Firefly Optimization Algorithm to tune PID controller parameters for a DC-DC SEPIC converter. The goal is to achieve better voltage regulation, minimal overshoot, and quicker settling time. Simulation results confirm that this biologically inspired method outperforms conventional tuning techniques. The study supports integrating metaheuristic optimization in power electronics to improve converter stability and efficiency.
Conclusion:
Al Jaber Mahmud demonstrates a rare combination of technical depth, interdisciplinary innovation, and real-world implementation. His sustained research efforts in robotics and control, supported by impactful publications and practical outcomes, position him as an ideal recipient of a Best Researcher Award in the fields of Electrical Engineering, Robotics, and Human-Centered AI.