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,
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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.
Systematic literature review maps 13 privacy engineering dimensions into two recurrent cores mediated by modeling, with concentrations at specific lifecycle stages and domain variations.
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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.
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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.