Latest Papers

ASME Journal of Mechanisms and Robotics

  • Special Issue: Selected Papers From IDETC-CIE 2020
    by Ben-Tzvi P, Notash L, Voglewede P. on May 3, 2021 at 12:00 am

    This special issue of the ASME Journal of Mechanisms and Robotics is a compendium of 25 of the best papers submitted and presented at the 44th ASME Mechanisms and Robotics Conference during the 2020 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2020).

Multiparameter Real-World System Identification Using Iterative Residual Tuning


In this work, we consider the problem of nonlinear system identification using data to learn multiple and often coupled parameters that allow a simulator to more accurately model a physical system or mechanism and close the so-called reality gap for more accurate robot control. Our approach uses iterative residual tuning (IRT), a recently developed derivative-free system identification technique that utilizes neural networks and visual observation to estimate parameter differences between a proposed model and a target model. We develop several modifications to the basic IRT approach and apply it to the system identification of a five-parameter model of a marble rolling in a robot-controlled labyrinth game mechanism. We validate our technique both in simulation—where we outperform two baselines—and on a real system, where we achieve marble tracking error of 4% after just five optimization iterations.
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