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An intuitive guidewire control mechanism for robotic intervention
Rohit Dey1, Yichen Guo2, Yang Liu3
1Mechanical and Materials Engineering, Worcester Polytechnic Institute, Worcester, MA, USA. rdey@wpi.edu.
International Journal of Computer Assisted Radiology and Surgery
|October 6, 2024
Summary
This study introduces a novel control interface for teleoperated interventional robotic systems (TIRs) that preserves tactile sensation. This intuitive design aims to improve physician adoption and accuracy in robot-assisted interventions.
Area of Science:
- Robotics
- Medical Technology
- Human-Computer Interaction
Background:
- Teleoperated Interventional Robotic systems (TIRs) offer benefits like reduced radiation exposure and enhanced precision.
- Widespread adoption of TIRs is hindered by unintuitive control interfaces, leading to steep learning curves.
- Current interfaces deviate from traditional manual techniques, impacting user proficiency.
Purpose of the Study:
- To develop a novel control mechanism for intuitive operation of TIRs.
- To facilitate seamless adoption of robot-assisted interventions by addressing interface challenges.
- To enhance the user experience and reduce the learning curve for TIR operation.
Main Methods:
- An off-the-shelf medical torque device was augmented with a micro-electromagnetic tracker for control.
- Real-time motion mapping of the interface was used to extract control inputs for the TIR.
- Evaluation experiments utilized industrial-grade encoders to verify the efficacy of the control mechanism.
Main Results:
- Achieved a mean tracking error of 0.32 ± 0.12 mm (linear) and 0.54 ± 0.07° (angular).
- Determined an average time lag of 125 ms in tracking using pade approximation.
- The developed interface is ergonomically comparable, being 3.5 mm larger and 4.5 g heavier than traditional torque devices.
Conclusions:
- The novel control interface closely resembles traditional torque devices, preserving tactile feedback.
- Performance is comparable to state-of-the-art commercially available TIRs.
- This intuitive interface has the potential to significantly increase clinical adoption of robot-assisted interventions.

