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A Constitutive Model for Torsional Loads on Fluid-Driven Soft Robots

Audrey Sedal, Daniel Bruder, Joshua Bishop-Moser, Ram Vasudevan, Sridhar Kota

Year
2017
Citations
7

Abstract

For soft robots to be utilized in medical devices, locomotion, industrial automation, and a number of other fields, they require accurate and computationally efficient models that capture both the kinetic behavior and inherent non-linearity. Fiber reinforcement enables soft robots to create useful motions, such as rotation, but poses additional complexity in modeling. The purpose of this paper is to present a constitutive model that relates the kinematic behaviour of a pneumatic fiber-reinforced soft actuator with its torsional loading. This model has the advantage of requiring minimal experimental parameter determination, being inclusive of torsional loads, without requiring large-scale computing systems. Experimental data in multiple kinematic configurations shows agreement between the models moment prediction and the moments that the actuators generate.

Keywords

KinematicsActuatorRobotSoft roboticsMoment (physics)Computer scienceControl theory (sociology)AutomationNonlinear systemControl engineering

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