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Control of Collaborative Robot Systems and Flexible Production Cells on the Basis of Deep Learning

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Abstract

A system for contact-free control of a robot system is based on a three-dimensional biomechanical model of the human skeleton for gesture recognition, by means of deep learning. Preliminary data analysis by calculating saliency maps permits more efficient classification of gestural commands and thus improves the performance of all control systems in the collaborative robot system.

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Funding

This work is supported by the Russian Science Foundation under grant no. 18-71-00137.

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Authors and Affiliations

  1. Stankin Moscow State Technical University, Moscow, Russia

    A. A. Zelenskii, M. M. Pismenskova & V. V. Voronin

Authors
  1. A. A. Zelenskii
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  2. M. M. Pismenskova
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  3. V. V. Voronin
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Corresponding authors

Correspondence to A. A. Zelenskii, M. M. Pismenskova or V. V. Voronin.

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Translated by B. Gilbert

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Zelenskii, A.A., Pismenskova, M.M. & Voronin, V.V. Control of Collaborative Robot Systems and Flexible Production Cells on the Basis of Deep Learning. Russ. Engin. Res. 39, 1065–1068 (2019). https://doi.org/10.3103/S1068798X19120256

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  • DOI: https://doi.org/10.3103/S1068798X19120256

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