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Real-time gesture mapping system for a 15-DOF palm-scale bionic manipulator

Author

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  • Qunting Chen
  • Xinhui Chen
  • Geng Chen

Abstract

In this paper, a low-cost, high-precision, high-degree-of-freedom intelligent manipulator was developed. Specifically, a 15-DOF palm-scale bionic manipulator integrated with a vision-based gesture mapping framework is presented. The system consists of a power management module, palm module, joint module, and gesture recognition module, and can be controlled via smart devices. Experimental results demonstrate gesture-driven control with an average end-to-end response time of approximately 2s, including perception, communication, and execution delays. In addition, the system is lightweight and compact, with dimensions comparable to those of a human palm. The work demonstrates the feasibility of integrating established gesture-recognition components with a compact robotic manipulator for embedded and portable human-robot interaction.

Suggested Citation

  • Qunting Chen & Xinhui Chen & Geng Chen, 2026. "Real-time gesture mapping system for a 15-DOF palm-scale bionic manipulator," PLOS ONE, Public Library of Science, vol. 21(9), pages 1-11, September.
    • Handle: RePEc:plo:pone00:0358347
    DOI: 10.1371/journal.pone.0358347
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