Aysha Ali Alshehhi — accepted AI-conference papers

2025

Trident: A Multi-Functional Soft Appendage for Underwater Locomotion and Grasping

Aysha Ali Alshehhi, Costanza Armanini, Anup Teejo Mathew, Daniel Feliú-Talegon, Federico Renda

RA-L 2025

Soft underwater robots, designed to mimic the movement and adaptability of aquatic animals, use flexible materials like silicone and rubber to change shape and navigate complex environments. These robots can squeeze through narrow spaces and avoid obstacles, making them ideal for exploring underwate

Cited by 2 Source ↗Scholar ↗

2022

Model-Based Design Optimization of Underwater Flagellate Propellers

Costanza Armanini, Aysha Ali Alshehhi, Anup Teejo Mathew, Ikhlas Mohamed Ben Hmida, Cesare Stefanini, Federico Renda

RA-L 2022

A new family of soft underwater propellers has been recently presented. Mimicking the swimming strategy of bacterial flagella, these modules passively adapt to the surrounding fluid to provide a propulsive thrust. In the present paper we aim at further investigating the behaviour of this device and

Cited by 4 Source ↗Scholar ↗