Christopher Bascucci
Swiss Federal Laboratories for Materials Science and Technology
Papers
1
Total Citations
1
H-Index
1
About
Christopher Bascucci is a leading researcher in soft robotics and tactile sensing, whose work centers on developing advanced, compact technologies for contact estimation in robotic systems. His major contribution lies in pioneering the integration of Electrical Impedance Tomography (EIT) with 3D-printed patterned soft skins, enabling dense, distributed tactile feedback in a thin, flexible form factor. This innovation addresses a critical need in robotics for high-resolution, non-intrusive sensing. His most-cited paper, "Design and Modelling of Electrical Impedance Tomography-based 3D-Printed Patterned Soft Tactile skins" (2025), has garnered 1 citation and lays the groundwork for scalable, customizable tactile arrays. Bascucci’s work is notable for bridging materials science and computational modeling, offering a practical pathway to enhance robotic dexterity and human-robot interaction. His achievements are poised to influence fields from prosthetics to industrial automation, marking him as a rising figure in the quest for more perceptive and adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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