Paolo Roberto Massenio
Papers
6
Total Citations
36
H-Index
4
About
Paolo Roberto Massenio is a rising researcher at the forefront of soft robotics and nonlinear control theory. His work focuses on the formidable challenge of achieving precise, model-based control of underactuated soft robotic systems, particularly those driven by dielectric elastomer actuators (DEAs)—a smart material technology that mimics artificial muscles. Massenio’s major contributions lie in developing advanced control strategies to overcome the inherent nonlinearities, material creep, and bi-stable behaviors that have historically made closed-loop position control of soft robots an open problem. His most-cited paper (2025, 14 citations) introduces a robust position control framework for an underactuated DEA soft robot, while his 2023 work (9 citations) pioneers an energy-based control approach for bi-stable systems. He has also explored nonlinear coordinate transformations for trajectory tracking (2024) and optimal control for DEA-driven structures (2022). Beyond soft robotics, Massenio has contributed to stochastic dynamic programming with switching control strategies. With a growing citation record and a clear focus on bridging theoretical control design with practical soft robotic applications, his work is shaping the next generation of adaptive, compliant machines.
Research Focus
Key Achievements
Top Papers
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