Giulia Pagnanelli
Papers
4
Total Citations
22
H-Index
2
About
Giulia Pagnanelli is a rising researcher at the forefront of biomimetic soft robotics and tactile sensing, dedicated to bridging the gap between human-like touch and robotic manipulation. Her work centers on endowing artificial hands with the ability to discriminate object compliance—a critical skill for dexterous interaction with deformable objects. Pagnanelli’s major contributions lie in developing and benchmarking both model-based and data-driven approaches that leverage soft, optical tactile sensors inspired by human fingerpads. Notably, her 2023 paper on model-based compliance discrimination via optical flow computation (11 citations) pioneered a biomimetic framework that avoids reliance on extensive training data. She has since advanced this line of inquiry by integrating human-like impedance regulation (2024, 7 citations) and conducting rigorous benchmarking between methodologies (2025). Her work also extends to control strategies for continuum soft robots, as seen in her assessment of energy-based control for the soft inverted pendulum. With a growing citation footprint and a clear trajectory toward enabling safe, intuitive human-robot interaction, Pagnanelli is establishing herself as a key voice in tactile robotics and soft actuation.
Research Focus
Key Achievements
Top Papers
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