A port-Hamiltonian Gaussian Process model integrates Cosserat rod theory and Hamiltonian structure with data-driven inference to learn energy-consistent dynamics of planar soft robots.
Soft Robots Modeling: A Structured Overview,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A fin-ray soft gripper finger was optimized for length, rib spacing, angle and thickness using FREM modeling, achieving 3% error validated by ANSYS simulation and experiments.
citing papers explorer
-
Learning-Based Modeling of Soft Robots via Cosserat Rod Theory
A port-Hamiltonian Gaussian Process model integrates Cosserat rod theory and Hamiltonian structure with data-driven inference to learn energy-consistent dynamics of planar soft robots.
-
Optimal Design and Analytical Modeling of a Soft Fin-Ray Effect Gripper Finger Using the Finite Rigid Elements Method
A fin-ray soft gripper finger was optimized for length, rib spacing, angle and thickness using FREM modeling, achieving 3% error validated by ANSYS simulation and experiments.