Papers

19

Total Citations

201

H-Index

9

About

Johannes Mersch has established himself as a pioneering researcher at the intersection of soft robotics, smart materials, and textile-integrated actuator systems. His work centers on developing biologically inspired, compliant robotic systems that harness the unique mechanical properties of textile-reinforced elastomers, shape memory alloys (SMAs), and dielectric elastomer actuators (DEAs). Mersch's most celebrated contribution is his biomimetic fish fin-like robot, which demonstrated how pre-processed textile materials embedded in soft silicone matrices could produce sophisticated, nature-inspired locomotion — a paper that has garnered 41 citations and helped define a new design paradigm in soft robotics. His subsequent work on SMA-based fiber-reinforced actuators (28 citations) tackled a longstanding limitation of SMA actuators by dramatically increasing their stroke through textile integration. He further advanced the field with stretchable textile strain sensors and self-sensing actuator systems, enabling closed-loop control critical for autonomous robots operating in complex environments. Particularly noteworthy is his exploration of helical dielectric elastomer actuators capable of high strain rates, alongside underwater DEA designs utilizing conductive hydrogel electrodes. Collectively accumulating over 166 citations, Mersch's research portfolio reveals a researcher consistently bridging materials science, robotics engineering, and bioinspired design to push the boundaries of what soft robotic systems can achieve.

Research Focus

Key Achievements

9
H-Index
19
Papers
201
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A Biomimetic Fish Fin-Like Robot Based on Textile Reinforced Silicone
41 citations · 2020
📈 Most Prolific Year: 2021 (5 Papers)
🤝 Key Collaborators: 49
🏛 Institutions: TU Dresden, Johannes Kepler University of Linz, Institute of Textile Technology and Process Engineering

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago