Ahmed M. M. Almassri
Papers
6
Total Citations
227
H-Index
5
About
Ahmed M. M. Almassri is a researcher whose work sits at the intersection of tactile sensing, robotic manipulation, and sensor fusion. His primary research areas include pressure sensor design, piezoresistive materials, and artificial neural networks for positioning accuracy. Almassri’s most impactful contribution is his comprehensive survey on pressure sensors for robotic hands, which has garnered 169 citations and remains a key reference in the field. He has also advanced real-time control systems by integrating pressure sensor measurements with LabVIEW and data acquisition devices, enabling more precise robotic hand applications. His work on combining IMU and UWB data with motion capture systems, using an artificial neural network approach, demonstrates his commitment to improving robot positioning accuracy—a critical challenge in autonomous systems. Almassri has also explored the optimization of grasping objects through pressure sensor arrangements, contributing to more efficient robotic grippers. With over 220 total citations across his publications, his research has influenced both academic understanding and practical applications in robotics, particularly in the development of sensitive, reliable tactile systems for human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Pressure Sensor: State of the Art, Design, and Application for Robotic Hand169 citations · 2015
- 2
- 3A sensitivity study of piezoresistive pressure sensor for robotic hand16 citations · 2013
- 4
- 5Evaluation of a commercial force sensor for real time applications7 citations · 2020
- 6