In this work we present a framework that is capable of accurately representing soft robotic actuators in a multiphysics environment in real-time. We propose a constraint-based dynamics model of a 1-dimensional pneumatic soft actuator that accounts for internal pressure forces, as well as the effect of actuator latency and damping under inflation and deflation and demonstrate its accuracy a full soft robotic snake with the composition of multiple 1D actuators. We verify our model's accuracy in static deformation and dynamic locomotion open-loop control experiments. To achieve real-time performance we leverage the parallel computation power of GPUs to allow interactive control and feedback.
@article{arxiv.1904.02833,
title = {A Validated Physical Model For Real-Time Simulation of Soft Robotic Snakes},
author = {Renato Gasoto and Miles Macklin and Xuan Liu and Yinan Sun and Kenny Erleben and Cagdas Onal and Jie Fu},
journal= {arXiv preprint arXiv:1904.02833},
year = {2019}
}
Comments
Paper accepted on ICRA 2019. Supplemental video https://youtu.be/wUAGTeKtKsc