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Task-specific robot base pose optimization for robot-assisted surgeries.

Ashok M Sundaram1, Nikola Budjakoski1, Julian Klodmann1

  • 1Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Wessling, Germany.

Frontiers in Robotics and AI
|December 19, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new method using robot capability maps (CMAPs) to optimize robot-assisted surgical system (RASS) setup. This enhances surgical planning, reduces setup time, and ensures critical robot reachability for improved patient safety.

Keywords:
capability mapsrobot base pose optimizationrobotic armrobotically assisted surgical systemssurgical robotssurgical setup planning

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Area of Science:

  • Robotics in Surgery
  • Surgical Planning
  • Medical Device Integration

Background:

  • Efficient setup of robotically assisted surgical systems (RASS) is vital for cost-effectiveness and surgeon adoption.
  • Kinematic limitations of RASS necessitate careful planning of robot base location and surgical access points to prevent complications.

Purpose of the Study:

  • To develop a versatile method for RASS setup and planning using robot capability maps (CMAPs).
  • To adapt CMAPs for surgical procedures, creating novel RASS capability maps (RASSCMAPs) that account for kinematic and access constraints.

Main Methods:

  • Adapted global CMAPs to surgical tasks and constraints to generate procedure-specific RASSCMAPs.
  • Utilized RASSCMAPs for intra-operative guidance and preoperative optimization using a genetic algorithm.
  • Evaluated the method in pedicle screw placement and general laparoscopy procedures.

Main Results:

  • Demonstrated the versatility of RASSCMAPs for various surgical procedures and RASS integration.
  • Showcased the ability of RASSCMAPs to provide online visualization of robot capabilities during setup.
  • Validated the optimization approach for determining optimal RASS configurations.

Conclusions:

  • The proposed RASSCMAP method improves RASS clinical value by reducing setup time and ensuring optimal robot reachability.
  • This approach enhances the efficiency and safety of robot-assisted surgeries.
  • RASSCMAPs offer a robust tool for both preoperative planning and intra-operative system setup.