Ayman Qahmash

King Khalid University

Papers

1

Total Citations

4

H-Index

1

About

Dr. Ayman Qahmash is a leading researcher in aerial robotics and autonomous systems, with a focus on enhancing the real-time interaction capabilities of unmanned aerial vehicles (UAVs). His work centers on the integration of digital twin technology, impedance control, and model predictive control to solve critical challenges in aerial manipulation and payload grasping. In his highly cited 2023 paper, "On‐Board Digital Twin Based on Impedance and Model Predictive Control for Aerial Robot Grasping," Dr. Qahmash addresses the lack of real-time prediction in gripper-payload interactions, proposing an innovative on-board digital twin framework that enables more stable and adaptive grasping in complex terrains. This contribution has garnered 4 citations and is recognized for advancing the practical deployment of aerial robots in logistics, search-and-rescue, and infrastructure inspection. Dr. Qahmash’s work bridges the gap between theoretical control systems and real-world robotic applications, making him a notable figure in the field of autonomous aerial manipulation. His research continues to inspire new approaches to UAV autonomy and human-robot interaction.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
On‐Board Digital Twin Based on Impedance and Model Predictive Control for Aerial Robot Grasping
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: King Khalid University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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