Model and Control of R-Soft Inverted Pendulum

Journal Article (2024)
Author(s)

Daniele Caradonna (Scuola Superiore Sant’Anna)

Michele Pierallini (University of Pisa)

Cosimo Della Santina (TU Delft - Mechanical Engineering, Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Franco Angelini (University of Pisa)

Antonio Bicchi (University of Pisa, Fondazione Istituto Italiano di Tecnologia)

Research Group
Learning & Autonomous Control
DOI related publication
https://doi.org/10.1109/LRA.2024.3389348 Final published version
More Info
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Publication Year
2024
Language
English
Research Group
Learning & Autonomous Control
Issue number
6
Volume number
9
Pages (from-to)
5102-5109
Downloads counter
306
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Abstract

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 work, 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.

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