Latest Papers

ASME Journal of Mechanisms and Robotics

  • Investigation on a Class of 2D Profile Amplified Stroke Dielectric Elastomer Actuators
    on September 24, 2024 at 12:00 am

    AbstractDielectric elastomer actuators (DEAs) have been widely studied in soft robotics due to their muscle-like movements. Linear DEAs are typically tensioned using compression springs with positive stiffness or weights directly attached to the flexible film of the DEA. In this paper, a novel class of 2D profile linear DEAs (butterfly- and X-shaped linear DEAs) with compact structure is introduced, which, employing negative-stiffness mechanisms, can largely increase the stroke of the actuators. Then, a dynamic model of the proposed amplified-stroke linear DEAs (ASL-DEAs) is developed and used to predict the actuator stroke. The fabrication process of linear DEAs is presented. This, using compliant joints, 3D-printed links, and dielectric elastomer, allows for rapid and affordable production. The experimental validation of the butterfly- and X-shaped linear DEAs proved capable of increasing the stroke up to 32.7% and 24.0%, respectively, compared with the conventional design employing springs and constant weights. Finally, the dynamic model is validated against the experimental data of stroke amplitude and output force; errors smaller than 10.5% for a large stroke amplitude (60% of maximum stroke) and 10.5% on the output force are observed.

Cosimulation and Control of a Single-Wheel Pendulum Mobile Robot

Abstract

Cosimulation is widely used as a powerful tool for performance evaluation of systems design. This approach presents advantages over traditional design methodologies for saving money and time in the development process and the possibility of evaluating rapidly design alternatives by using virtual prototypes. This article presents an adams/matlab cosimulation for the dynamics and control of a Single-Wheel pendulum ROBot (SWROB) with inertial locomotion actuation to characterize design solutions by means of validation of analytical results. The obtained results by the proposed cosimulation show a significant performance based on the analytical and programming efforts in characterizing and simulating the designed system model. Moreover, open-loop experimental results are presented to validate both the analytical model and the virtual prototype.
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