Henrik Krauss
Papers
2
Total Citations
37
H-Index
2
About
Henrik Krauss is a rising leader in soft robotics and stretchable optical sensing, with a research focus on developing flexible, electrically safe sensors for dynamic state estimation in soft actuators. His major contributions center on pioneering a novel class of stretchable optical waveguide sensors that can detect multiple degrees of freedom simultaneously—a significant leap from conventional single-axis strain sensors. In his highly cited 2022 work (31 citations), Krauss introduced a semidivided optical core design that enables two-degree-of-freedom strain sensing, addressing a critical need for precise, stable feedback in soft robotic systems. Building on this, his 2024 study (6 citations) demonstrated the first implementation of this advanced waveguide into a multidirectional PneuNet soft actuator, using a NARX neural network to achieve enhanced model-free dynamic state estimation. This work bridges the gap between sensor hardware and intelligent control, showcasing Krauss’s ability to integrate novel materials with machine learning. His research is not only advancing the frontier of soft robot proprioception but also holds promise for applications in wearable devices and human-robot interaction. Krauss’s innovative waveguide design and its successful deployment in dynamic systems mark him as a key contributor to the next generation of soft, intelligent robotics.
Research Focus
Key Achievements
Top Papers
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