Even Almas
Papers
1
Total Citations
10
H-Index
1
About
Even Almas is a researcher at the forefront of automated composite manufacturing and tactile sensing. Their most notable contribution is the development of a novel end effector that integrates tactile shape sensing for real-time defect detection during composite layup. This work, published in 2021 and already garnering 10 citations, represents the first system capable of identifying defects as they occur during the layup process, a significant leap forward for quality control in advanced manufacturing. Building on the ‘TacTip’ sensor concept from the Bristol Robot Laboratory, Almas’s research bridges robotics and materials science, enabling more reliable and efficient production of composite structures. Their work has the potential to reduce waste and improve safety in industries like aerospace and automotive. By tackling the challenge of in-process monitoring, Even Almas is helping to pave the way for fully autonomous, high-precision composite manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1Real time defect detection during composite layup via Tactile Shape Sensing10 citations · 2021