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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy11:53

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Related Experiment Video

Updated: Jan 20, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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A Confidence-Based Shared Control Strategy for the Smart Tissue Autonomous Robot (STAR).

H Saeidi1, Justin D Opfermann2, Michael Kam1

  • 1Mechanical Engineering Department, University of Maryland, College Park, MD 20742, USA. hsaeidi@umd.edu, mkam@umd.edu, sraghuna@umd.edu, axel@umd.edu.

Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems
|September 3, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a shared control strategy for robotic surgery, enhancing autonomous robotic systems (RAS) through human-robot collaboration. The novel approach improves cutting accuracy and reduces surgeon workload in complex procedures.

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Area of Science:

  • Robotics
  • Surgical Technology
  • Human-Robot Interaction

Background:

  • Autonomous robotic assisted surgery (RAS) systems offer potential benefits but require human-robot collaboration for complex tasks.
  • Full automation in intricate surgical environments remains a challenge, necessitating effective shared control strategies.
  • The Smart Tissue Autonomous Robot (STAR) platform is utilized to explore collaborative control in surgical scenarios.

Purpose of the Study:

  • To develop and evaluate a confidence-based shared control strategy for human-robot collaboration in robotic surgery.
  • To assess pattern tracking performance and confidence models for both human and robot operators.
  • To experimentally validate the accuracy and efficiency of the proposed shared control strategy in a simulated surgical task.

Main Methods:

  • Development of a confidence-based shared control strategy for the STAR system.
  • Assessment of manual and autonomous control pattern tracking performance under partial blood occlusion.
  • Identification of confidence models for human and robot, and a confidence-based control allocation function.
  • Experimental evaluation using 2D pattern cutting tasks on porcine fat samples with a robotic electrocautery tool.

Main Results:

  • The proposed shared control strategy improved cutting accuracy by 6.4% compared to pure manual control.
  • Operator work time was reduced by 44% with the shared control strategy.
  • The system effectively combined autonomous robotic precision with human operator adaptability.

Conclusions:

  • Shared control strategies enhance the performance of autonomous robotic assisted surgery systems.
  • Confidence-based control allocation is a viable method for optimizing human-robot collaboration in surgery.
  • This approach shows promise for improving safety, accuracy, and efficiency in robotic surgical procedures.