David Redrejo

University of Castilla-La Mancha

Papers

1

Total Citations

4

H-Index

1

About

David Redrejo is a rising figure in the field of soft robotics, with a focused expertise in the modeling and control of soft pneumatic actuators. His most-cited work introduces a groundbreaking approach to a persistent challenge: the inherent nonlinearity and complex dynamics of soft materials. In his 2024 paper, "Fractional Order Modeling and Control of Hydrogel-based Soft Pneumatic Bending Actuators," Redrejo applies fractional-order calculus—a sophisticated mathematical framework—to more accurately capture the viscoelastic behavior of hydrogel-based actuators. This contribution is pivotal, offering a more precise control strategy for these flexible, safe, and high-speed devices, which are critical for applications in medical devices and human-robot interaction. While his citation count is currently modest (4 citations), reflecting the recency of his work, the novelty of applying fractional-order control to this domain signals a significant potential for future impact. Redrejo’s research bridges advanced control theory and materials science, positioning him as an innovator in making soft robots more predictable and controllable.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Fractional Order Modeling and Control of Hydrogel-based Soft Pneumatic Bending Actuators
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Castilla-La Mancha

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago