TY - JOUR
T1 - Model and Control of R-Soft Inverted Pendulum
AU - Caradonna, Daniele
AU - Pierallini, Michele
AU - Santina, Cosimo Della
AU - Angelini, Franco
AU - Bicchi, Antonio
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2024/6/1
Y1 - 2024/6/1
N2 - Soft robots enable safe and robust operations in unstructured environments. However, the nonlinearities of their continuum structure complicate the accomplishment of classic robotic tasks, such as pick and place. In this letter, we propose the R-Soft Inverted Pendulum, a Soft Inverted Pendulum (SIP) actuated only by a revolute joint at the base. The objective is to exploit the snap effect to execute pick and place task. We model the proposed system with two approaches: Curvature Parametrization and Strain Parametrization. The former is particularly simple and easy to implement in the classic dynamics of a rigid manipulator, although it suffers from numerical issues. The latter is more complex but guarantees numerical robustness. Additionally, we analyze the equilibria of the system and its structural properties. Furthermore, we propose a control law based on feedback linearization. Finally, we validate the proposed system through simulations.
AB - Soft robots enable safe and robust operations in unstructured environments. However, the nonlinearities of their continuum structure complicate the accomplishment of classic robotic tasks, such as pick and place. In this letter, we propose the R-Soft Inverted Pendulum, a Soft Inverted Pendulum (SIP) actuated only by a revolute joint at the base. The objective is to exploit the snap effect to execute pick and place task. We model the proposed system with two approaches: Curvature Parametrization and Strain Parametrization. The former is particularly simple and easy to implement in the classic dynamics of a rigid manipulator, although it suffers from numerical issues. The latter is more complex but guarantees numerical robustness. Additionally, we analyze the equilibria of the system and its structural properties. Furthermore, we propose a control law based on feedback linearization. Finally, we validate the proposed system through simulations.
KW - Modeling
KW - and learning for soft robots
KW - control
KW - underactuated robots
UR - http://www.scopus.com/inward/record.url?scp=85190739361&partnerID=8YFLogxK
U2 - 10.1109/LRA.2024.3389348
DO - 10.1109/LRA.2024.3389348
M3 - Article
AN - SCOPUS:85190739361
SN - 2377-3766
VL - 9
SP - 5102
EP - 5109
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
IS - 6
ER -