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.”
https://www.frontiersin.org/articles/10.3389/frobt.2021.790571/full