Paul Pena
Papers
2
Total Citations
15
H-Index
2
About
Paul Pena is a leading researcher in the emerging field of soft robotics, with a particular focus on the design and modeling of novel compliant mechanisms. His major contribution lies in pioneering the application of parallel structures—traditionally used in rigid robotics—to create safer, more dexterous soft robotic systems. His most-cited work, "Development of Novel Three-Dimensional Soft Parallel Robot" (2021, 10 citations), demonstrates how replacing serial elastomeric arms with a parallel architecture can enhance stability and precision in human-robot interaction. Pena is also recognized for his practical contributions to simulation methodology; his paper "Modeling of Compliant Mechanisms in MATLAB Simscape" (2020, 5 citations) provides an accessible framework for engineers to model flexible systems using industry-standard tools. By bridging theoretical design with actionable simulation techniques, Pena’s work accelerates the adoption of soft robotics in applications ranging from medical devices to collaborative manufacturing. His research continues to shape how robots can safely and effectively work alongside humans.
Research Focus
Key Achievements
Top Papers
- 1Development of Novel Three-Dimensional Soft Parallel Robot10 citations · 2021
- 2Modeling of Compliant Mechanisms in MATLAB Simscape5 citations · 2020