4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.RO2020★ 4 cited
Learning to Locomote with Deep Neural-Network and CPG-based Control in a Soft Snake Robot
Xuan Liu, Renato Gasoto, Cagdas Onal +1
In this paper, we present a new locomotion control method for soft robot snakes. Inspired by biological snakes, our control architecture is composed of two key modules: A deep rein…
cs.RO2019
A Validated Physical Model For Real-Time Simulation of Soft Robotic Snakes
Renato Gasoto, Miles Macklin, Xuan Liu +4
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 dyna…