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Related Experiment Video

Updated: Oct 7, 2025

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
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A Human Gesture Mapping Method to Control a Multi-Functional Hand for Robot-Assisted Laparoscopic Surgery: The MUSHA

Fanny Ficuciello1, Alberto Villani2, Tommaso Lisini Baldi2

  • 1Department of Electrical Engineering and Information Technology, University of Naples Federico II, Napoli, Italy.

Frontiers in Robotics and AI
|January 7, 2022
PubMed
Summary

This study introduces a new control technique for multi-functional robotic hands in minimally invasive surgery. The method enhances control by mapping human hand movements to the robot

Keywords:
medical robotroboticssurgical grippersurgical robotteleoperation

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Area of Science:

  • Robotics
  • Minimally Invasive Surgery
  • Surgical Technology

Background:

  • Robot-assisted surgery offers precision but advanced tools like multi-functional hands present control challenges.
  • Existing systems struggle to manage the increased degrees of freedom in advanced robotic end-effectors without adding console complexity.
  • Developing intuitive and reliable control strategies for complex surgical robots remains an open research problem.

Purpose of the Study:

  • To present a novel control strategy for multi-functional robotic hands in robot-assisted surgery.
  • To map human hand motions directly into the robot's actuation space for intuitive control.
  • To evaluate the stability, intuitiveness, and usability of the proposed control system.

Main Methods:

  • A control strategy was developed to project human hand motions into the robot actuation space.
  • Human hand movements were tracked using a LeapMotion camera.
  • The tracked motions were mapped to the virtualized end-effector's actuation space, validated via Lyapunov stability analysis and a user study.

Main Results:

  • The proposed control algorithm demonstrated Lyapunov stability, ensuring reliable performance.
  • A user study with 10 participants indicated the system is intuitive and usable.
  • The technique successfully controlled the MUSHA multi-functional hand, offering more degrees of freedom than standard systems.

Conclusions:

  • The developed control strategy effectively manages complex multi-functional robotic hands for surgery.
  • This approach simplifies control by directly mapping human movements, enhancing usability.
  • The findings suggest a promising direction for advancing robot-assisted minimally invasive surgery.