Elastomeric strain limiters paired with electroadhesive clutches enable variable inflation trajectories in soft pneumatic actuators, supported by neural-network inverse design and experimental validation for safe human interaction.
High-dimensional bayesian optimization with sparse axis-aligned subspaces
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Systematic benchmarks on NACA0012, RAE2822, and ONERA M6 cases show derivative-free optimizers competitive with adjoint-based methods and stronger in higher dimensions.
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Elastomeric Strain Limitation for Design of Soft Pneumatic Actuators
Elastomeric strain limiters paired with electroadhesive clutches enable variable inflation trajectories in soft pneumatic actuators, supported by neural-network inverse design and experimental validation for safe human interaction.
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Derivative-free optimization is competitive for aerodynamic design optimization in moderate dimensions
Systematic benchmarks on NACA0012, RAE2822, and ONERA M6 cases show derivative-free optimizers competitive with adjoint-based methods and stronger in higher dimensions.