Papers
7
Total Citations
205
H-Index
6
About
Silvia Terrile is a leading researcher in soft robotics, with a focus on bioinspired manipulators, hyper-redundant systems, and immersive teleoperation. Her work bridges the gap between flexible materials and intelligent control, most notably through the development of soft grippers that can safely grasp delicate and irregular objects—a critical advance for applications in manufacturing, healthcare, and underwater exploration. Her highly cited 2021 comparison of soft gripper technologies (82 citations) established a benchmark for the field, while her “JellyRobcib” project (49 citations) demonstrated a shape-memory-alloy-driven soft robot capable of path tracking via fuzzy visual control, mimicking jellyfish locomotion. Terrile also pioneered the use of finite element analysis to train neural networks for real-time soft robot modeling, enabling more accurate simulation and control of these compliant systems. Her work on hyper-redundant robots and natural-language-driven teleoperation has expanded the possibilities for remote manipulation in constrained environments. With over 200 total citations and recent innovations like the Fin-A-Rays discrete gripper array, Terrile continues to shape the future of adaptive, soft robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Comparison of Different Technologies for Soft Robotics Grippers82 citations · 2021
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- 5Robots Hiper-Redundantes: Clasificación, Estado del Arte y Problemática16 citations · 2018
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