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Admittance Control for Robot Assisted Retinal Vein Micro-Cannulation under Human-Robot Collaborative Mode
He Zhang1,2, Berk Gonenc2, Iulian Iordachita2
1State Key State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, Heilongjiang, P. R. China.
Summary
Robotic systems enhance retinal vein cannulation, a complex treatment for retinovascular diseases. This human-robot collaboration improves procedure stability and accuracy, aiding physicians in delicate interventions.
Area of Science:
- Ophthalmology
- Medical Robotics
- Biomedical Engineering
Background:
- Retinal vein occlusion is a prevalent retinovascular disease.
- Retinal vein cannulation offers a promising treatment but is technically demanding.
- Current procedures are limited by human dexterity and precision.
Purpose of the Study:
- To develop a robotic system for assisting retinal vein cannulation.
- To enhance the precision and stability of the cannulation procedure.
- To enable a human-robot collaborative approach for improved outcomes.
Main Methods:
- Utilized the Steady-Hand Eye Robot and force-sensing instruments.
- Implemented an admittance control method for cannula stabilization.
- Employed a pre-stress strategy to maintain microneedle position during prolonged infusions.
Main Results:
- Simulations demonstrated the effectiveness of the robotic system.
- Admittance control successfully stabilized the cannula within the retinal vein lumen.
- The pre-stress strategy prevented microneedle dislodgement during simulated infusions.
Conclusions:
- Robotic assistance and human-robot collaboration can overcome the challenges of retinal vein cannulation.
- The developed system shows potential for improving treatment efficacy for retinovascular diseases.
- Advanced instrumentation and control strategies are crucial for delicate intraocular procedures.

