Ahmad Jobran Al-Mahasneh
Papers
4
Total Citations
25
H-Index
2
About
Dr. Ahmad Jobran Al-Mahasneh is a leading researcher in autonomous robotics and intelligent control systems, with a primary focus on multi-robot coordination, reinforcement learning, and adaptive control for industrial and aerial platforms. His most impactful work, "Guidance, Navigation and Control System for Multi-Robot Network in Monitoring and Inspection Operations" (18 citations), addresses the critical challenge of deploying collaborative teams of unmanned ground vehicles and quadrotors for autonomous inspection missions, offering an affordable and scalable solution for real-world monitoring tasks. Dr. Al-Mahasneh has also pioneered the use of online model-free reinforcement learning to compensate for high-variation friction forces in robotic arms, directly improving industrial precision and reducing operational losses. His recent development of an ANFIS-based controller for KUKA industrial robots, integrated with the ROBO2L MATLAB toolbox and RSI, demonstrates his commitment to bridging advanced control theory with practical hardware implementation. Additionally, his work on hyperplane-based adaptive T-S fuzzy controllers for micro aerial robots addresses the nonlinear dynamics and uncertainties inherent in small autonomous flyers. With a growing citation record and a portfolio spanning from ground robots to aerial systems, Dr. Al-Mahasneh is establishing himself as a versatile innovator in the field of autonomous systems and intelligent control.
Research Focus
Key Achievements
Top Papers
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