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Related Experiment Video

Updated: Dec 3, 2025

Design and Fabrication of an Elastomeric Unit for Soft Modular Robots in Minimally Invasive Surgery
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A novel robotic system for flexible ureteroscopy.

Xiongpeng Shu1, Qi Chen2, Le Xie1,3

  • 1Institute of Forming Technology & Equipment, Shanghai Jiao Tong University, Shanghai, China.

The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS
|October 26, 2020
PubMed
Summary

This study introduces a novel robotic system for flexible ureteroscopy (fURS) that provides torque feedback and monitors intra-renal pressure. The system demonstrates feasibility for enhanced robotic-assisted urological procedures.

Keywords:
force feedbackintra-renal pressureneural networkoperation optimization

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Area of Science:

  • Robotics in Medicine
  • Urological Surgery
  • Medical Device Innovation

Background:

  • Existing robotic systems for flexible ureteroscopy (fURS) often neglect crucial factors like force feedback and intra-renal pressure.
  • These parameters are vital for safe and effective fURS procedures.

Purpose of the Study:

  • To develop a novel robotic system for fURS.
  • To integrate partial force feedback (bending knob torque) and intra-renal pressure monitoring into the robotic system.
  • To explore a neural network-based method for optimizing the haptic device operation.

Main Methods:

  • A robotic system for fURS was designed and integrated with a commercial haptic device for torque feedback.
  • Intra-renal pressure monitoring was incorporated into the system.
  • A neural network-based approach was developed to optimize the haptic device's performance.

Main Results:

  • The robotic system successfully captured bending variations and provided feedback to the operator.
  • Accurate monitoring of intra-renal pressure was achieved.
  • The neural network method showed potential for improving the system's operation.

Conclusions:

  • The developed robotic system's functions are feasible.
  • Further in vivo experiments are required to fully evaluate the system's efficacy in clinical settings.