About

Carsten Behn’s research lies at the intersection of bio-inspired robotics, nonlinear dynamics, and adaptive control, with a focus on creating compliant, muscle-like robotic systems. His major contributions include the development of adaptive PID-tracking control for compliant robotic systems under input constraints, and the generation and analysis of gaits for worm-like locomotion systems (WLLS) using adaptive control—work that has garnered 18 citations. Behn has also advanced the understanding of snake-like locomotion through kinematic and dynamic descriptions of non-standard systems, and pioneered a vibrissa-inspired highly flexible tactile sensor capable of scanning 3D object surfaces to produce tactile images, a novel contribution to robotic sensing under poor visibility. His work on the dynamics and motion control of a chain of particles on a rough surface (19 citations) further demonstrates his impact in modeling complex locomotion. With over 68 citations across his most-cited papers, Behn’s research is foundational for developing robust, adaptive robots that mimic biological movement and sensing, offering practical solutions for exploration in challenging environments.

Research Focus

Key Achievements

5
H-Index
5
Papers
68
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive PID-tracking control of muscle-like actuated compliant robotic systems with input constraints
21 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Merseburg University of Applied Sciences, Technische Universität Ilmenau, Schmalkalden University of Applied Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago