Mustafa A. Al-Khawaldeh

About

Dr. Mustafa A. Al-Khawaldeh is a leading researcher in intelligent robotics and autonomous systems, with a particular focus on overcoming real-world uncertainties in mobile and industrial robots. His most impactful work, "Obstacles Avoidance for Mobile Robot Using Type-2 Fuzzy Logic Controller" (27 citations), addresses the critical challenge of navigating dynamic environments by employing advanced fuzzy logic to handle both static and dynamic obstacles. Dr. Al-Khawaldeh has also made significant contributions to smart home automation, pioneering ubiquitous robotics frameworks for knowledge-based auto-configuration systems that simplify the management of complex, device-rich environments. In the domain of industrial robotics, he has developed innovative control strategies, including a three-stage PSO-based methodology for tuning optimal PD-controllers and an online reinforcement learning controller designed to mitigate the effects of high friction variation in robotic arm joints. His work bridges theoretical control engineering with practical, deployable solutions, earning him recognition for enhancing the reliability and autonomy of robotic systems across domestic and industrial settings.

Research Focus

Key Achievements

Top Papers

1. 1
   Obstacles Avoidance for Mobile Robot Using Type-2 Fuzzy Logic Controller

   27 citations · 2022
2. 2
   Ubiquitous robotics for knowledge-based auto-configuration system within smart home environment

   12 citations · 2016
3. 3
   Knowledge-based auto-configuration system using ubiquitous robotics for services delivery in smart home

   4 citations · 2019
4. 4
   A three-stage PSO-based methodology for tuning an optimal PD-controller for robotic arm manipulators

   4 citations · 2020
5. 5
   Online reinforcement learning control of robotic arm in presence of high variation in friction forces

   3 citations · 2023

Key Collaborators

Contact & Links