Y. de Santis

Physics-Informed Neural Networks for Estimating the Cable Dynamics via Cartesian Measurements

Aerial robots equipped with cables used as soft end-effectors represent a new, versatile robotic paradigm to solve multiple tasks. However, to fully exploit the versatility of soft robots, the modeling problem must be addressed. The main challenges depend on the hard-to-model continuum dynamics. To solve this challenge...