Papers

8

Total Citations

43

H-Index

4

About

Sigrid Leyendecker is a leading figure in computational mechanics and robotics, renowned for pioneering optimal control strategies and structure-preserving simulations for complex multibody systems. Her research integrates multibody dynamics, optimal control, and soft robotics, with a focus on developing robust, energy-efficient locomotion for humanoid robots. She has made major contributions to series-elastic and visco-elastic robot control, introducing methods that exploit intrinsic system dynamics to achieve stable, multi-contact balancing and walking—work that has garnered over 10 citations for her seminal 2017 paper on optimal and robust walking. Leyendecker also advances soft robotics through dielectric elastomer actuators, modeling them as artificial muscles for flexible multibody systems, and has innovated in protein conformational motion planning using frustration-guided techniques. Her development of concentration-of-measure optimal control (COMOC) for robust certification and exergetic port-Hamiltonian systems for consistent multibody modeling underscores her impact, with her most-cited papers collectively cited over 40 times. Notably, her 2024 work on exergetic port-Hamiltonian systems marks a significant step in unifying energy-based modeling for complex systems. Leyendecker’s research is essential for students and researchers in robotics, biomechanics, and computational mechanics, offering foundational tools for designing resilient, bio-inspired machines.

Research Focus

Key Achievements

4
H-Index
8
Papers
43
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Optimal and robust walking using intrinsic properties of a series-elastic robot
10 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg, Berlin Mathematical School

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago