A Validated Physical Model For Real-Time Simulation of Soft Robotic Snakes
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A Validated Physical Model For Real-Time Simulation of Soft Robotic Snakes. / Gasoto, Renato; Macklin, Miles; Liu, Xuan; Sun, Yinan; Erleben, Kenny; Onal, Cagdas; Fu, Jie.
2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019. p. 6272-6279.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - A Validated Physical Model For Real-Time Simulation of Soft Robotic Snakes
AU - Gasoto, Renato
AU - Macklin, Miles
AU - Liu, Xuan
AU - Sun, Yinan
AU - Erleben, Kenny
AU - Onal, Cagdas
AU - Fu, Jie
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
U2 - 10.1109/ICRA.2019.8794375
DO - 10.1109/ICRA.2019.8794375
M3 - Article in proceedings
SP - 6272
EP - 6279
BT - 2019 International Conference on Robotics and Automation (ICRA)
PB - IEEE
T2 - 2019 International Conference on Robotics and Automation (ICRA)
Y2 - 20 May 2019 through 24 May 2019
ER -
ID: 228449841