Ahmad Jobran Al-Mahasneh

Philadelphia University, University of Canberra

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

2
H-Index
4
Papers
25
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Guidance, Navigation and Control System for Multi-Robot Network in Monitoring and Inspection Operations
18 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Philadelphia University, University of Canberra

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago