Stella, FrancescoObayashi, NanaDella Santina, CosimoHughes, Josie2022-08-092022-08-092022-08-09202210.1109/LRA.2022.3192887https://infoscience.epfl.ch/handle/20.500.14299/189880The control possibilities for soft robots have long been hindered by the lack of accurate yet computationally treatable dynamic models of soft structures. Polynomial curvature models propose a solution to this quest for continuum slender structures. Nevertheless, the results produced with this class of models have been so far essentially theoretical. With the present work, we aim to provide a much-needed experimental validation to these recent theories. To this end, we focus on soft tentacles immersed in water. First, we propose an extension of the affine curvature model to underwater structures, considering the drag forces arising from the fluid-solid interaction. Then, we extensively test the model's capability to describe the system behavior across several shapes and working conditions. Finally, we validate model-based control policies, proposing and solving an optimal control problem for directional underwater swimming. Using the model we show an average increase of more than 3.5 times the swimming speed of a sinusoidal baseline controller, with some tentacles showing an improvement in excess of 5.5 times the baseline. IEEEComputation theoryDragIdentification (control systems)Optimal control systemsPolynomialsReligious buildingsComputational modellingExperimental validationsFlexible roboticsModel learningModeling, control, and learning for soft robotModelling controlsSoft robotSoft roboticsSystem-identificationRobotstext::journal::journal article::research article