Eugenio Frias Miranda — accepted AI-conference papers

2025

Anisotropic Stiffness and Programmable Actuation for Soft Robots Enabled by an Inflated Rotational Joint

Sicheng Wang, Eugenio Frias Miranda, Antonio Alvarez Valdivia, Laura H. Blumenschein

ICRA 2025

Soft robots are known for their ability to perform tasks with great adaptability, enabled by their distributed, non-uniform stiffness and actuation. Bending is the most fundamental motion for soft robot design, but creating robust, and easy-to-fabricate soft bending joint with tunable properties rem

Cited by 6 Source ↗Scholar ↗

2023

The Folded Pneumatic Artificial Muscle (foldPAM): Towards Programmability and Control via End Geometry

Sicheng Wang, Eugenio Frias Miranda, Laura H. Blumenschein

RA-L 2023

Soft pneumatic actuators have seen applications in many soft robotic systems, and their pressure-driven nature presents unique challenges and opportunities for controlling their motion. In this work, we present a new concept: designing and controlling pneumatic actuators via end geometry. We demonst

Cited by 14 Source ↗Scholar ↗