Lisa-Marie Faller
Papers
16
Total Citations
273
H-Index
8
About
Lisa-Marie Faller is a pioneering researcher at the intersection of soft robotics, advanced sensing technologies, and human-robot interaction. Her work centers on developing innovative sensing solutions that enable robots to perceive and respond to their physical environments with unprecedented adaptability and safety. Faller's most impactful contribution—a model-based sensor fusion framework for soft robotics (2020, 80 citations)—elegantly combines capacitive and pneumatic sensing to estimate contact forces and deformations, addressing one of the field's most persistent challenges. This foundational work is complemented by her development of highly stretchable, additively manufactured capacitive sensors (2023, 56 citations), which have advanced the practical fabrication of flexible sensing systems for compliant robotic platforms. Her research extends into mobile manipulation, gesture-based contactless control, and multimodal gripper design for demanding environments like forestry robotics and clean rooms. Notably, her exploration of liquid metal pressure sensors and all-flexible sensing soles demonstrates a commitment to ruggedized, versatile solutions suited for real-world deployment. With over 250 cumulative citations, Faller's portfolio reflects a sophisticated blend of materials science, mechanical design, and robotics engineering. Her work is increasingly relevant as Industry 4.0 and 5.0 demand safer, smarter, and more collaborative robotic systems.
Research Focus
Key Achievements
Top Papers
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- 6Printed and Flexible Capacitive Pressure Sensors for Soft Robotics14 citations · 2023
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- 9An All-Flexible Sensing Sole For Legged Robots5 citations · 2019
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