Autors: Popov, V. L., Ahmed, S. A., Shakev, N. G., Topalov, A. V.
Title: Gesture-based interface for real-time control of a mitsubishi scara robot manipulator
Keywords: Kinect sensor gesture recognition control human-robot interaction Mitsubishi SCARA manipulator

Abstract: A new approach to control robot manipulators using body gestures is presented. It implements the Microsoft Kinect sensor ability to track joint positions. The later has been used in the developed software application for gesture recognition, operating in Matlab programming environment, that maps the gestures into robot control commands. The goal is to control the movements of an industrial manipulator that shares its workspace with humans. Such a working environment is characterized with complexity and dynamism. In this way a more-effective interface with the controlled robot can been created. The experimental tests have been carried out with a Mitsubishi SCARA robot manipulator model RH-6CH7020-1D1-S15.

References

    Issue

    19th IFAC Conference on Technology, Culture and International Stability, TECIS 2019, vol. 52, issue 25, pp. 180-185, 2019, Bulgaria, IFAC-PapersOnLine, DOI: 10.1016/j.ifacol.2019.12.469

    Copyright Elsevier

    Цитирания (Citation/s):
    1. Kaczmarek W., Panasiuk J., Borys S., Banach P., Industrial robot control by means of gestures and voice commands in off-line and on-line mode, Sensors (Switzerland) 20(21), 6358, pp. 1-15 - 2020 - в издания, индексирани в Scopus или Web of Science
    2. Giberti H., Abbattista T., Carnevale M., Giagu L., Cristini F., A Methodology for Flexible Implementation of Collaborative Robots in Smart Manufacturing Systems (2022) Robotics, 11 (1), art. no. 9 DOI: 10.3390/robotics11010009 - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    3. Wan, X., Luo, Q., Li, Y., Lou, J., Zheng, P. (2023). Research on Manipulator Control Based on RGB-D Sensor. In: Dai, H. (eds) Computational and Experimental Simulations in Engineering. ICCES 2022. Mechanisms and Machine Science, vol 119. Springer, Cham. https://doi.org/10.1007/978-3-031-02097-1_26 - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus