A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data

Kun Wang, Mridul Aanjaneya, Kostas Bekris

Tensegrity robots, composed of rigid rods and flexible cables, are difficult to accurately model and control given the presence of complex dynamics and high number of DoFs. Differe…