In our quest towards creating highly dexterous soft surgical robots to diagnose and treat cancer, reliable material modelling is crucial. In this new paper, we present a framework for fitting hyper-elastic model parameters by means of an evolutionary algorithm. This AI-based approach allows to navigate more efficiently the vast and complex design parameter space, showing a substantial increase in fitting accuracy when compared to conventional methods.”

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