Abdulaziz Y. Alkayas
Khalifa University of Science and Technology, University College London
Papers
6
Total Citations
64
H-Index
4
About
Abdulaziz Y. Alkayas is at the forefront of soft robotics, pioneering methods to model, sense, and control these highly deformable machines. His research centers on model order reduction for hybrid soft-rigid robots, where he has developed innovative strain parameterization techniques that dramatically simplify complex nonlinear dynamics without sacrificing accuracy. His most cited work (30 citations) introduces a reduced order modeling framework using global, local, and state-dependent strain parameterization, enabling faster and more accurate analysis of soft robots. Alkayas has also advanced soft robot proprioception by embedding 6D strain sensors, allowing robots to perceive their own shape and environmental interactions—a critical step toward autonomous operation in unstructured settings. His work extends to concentric tube robots for minimally invasive surgery, where he demonstrated shape and tip force estimation using only actuation readings, eliminating the need for external sensors. With additional contributions in deep visual models for predicting interaction shapes and tendon-driven slender soft robots, Alkayas is building the foundational tools for the next generation of safe, adaptive, and intelligent soft robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Advancing Soft Robot Proprioception Through 6D Strain Sensors Embedding10 citations · 2025
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