Luana Giliberto
Papers
1
Total Citations
73
H-Index
1
About
Luana Giliberto is a leading researcher in soft robotics and embodied intelligence, with a focus on integrating soft matter sensors into robotic systems to enable autonomous, adaptive manipulation. Her most-cited work, “Autonomous Selection of Closing Posture of a Robotic Hand Through Embodied Soft Matter Capacitive Sensors” (2017, 73 citations), introduced a groundbreaking approach by embedding capacitive sensors into the silicone skin of a robotic hand’s fingertips and palm. This innovation allows the hand to acquire pre-touch information about objects—including conductive ones—before grasping, enabling it to autonomously select an appropriate closing posture. Giliberto’s contributions advance the field of soft robotics by demonstrating how distributed, embodied sensing can replace traditional rigid sensors, improving dexterity and safety in human-robot interaction. Her work has significant implications for prosthetics, manufacturing, and assistive technologies, where adaptive grasping is critical. Recognized for bridging materials science and robotics, Giliberto’s research continues to inspire new methods for creating more intuitive, sensor-rich robotic hands that interact seamlessly with their environment.
Research Focus
Key Achievements
Top Papers
- 1