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Haptic Shared Control Framework with Interaction Force Constraint Based on Control Barrier Function for Teleoperation
Wenlei Qin1, Haoran Yi1, Zhibin Fan1
1State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.
This study introduces a new haptic shared control framework for robotic retinal surgery. It uses a force-constrained supervisory controller to prevent unsafe tool-tissue interactions, enhancing surgical safety.
Area of Science:
- Robotics and Automation
- Ophthalmic Surgery
- Control Systems Engineering
Background:
- Teleoperated robotic systems for retinal surgery lack precise control over tool-tissue interaction forces, posing a risk of patient injury.
- Current systems may not adequately prevent surgeon errors leading to adverse outcomes during delicate procedures.
Purpose of the Study:
- To develop and evaluate a haptic shared control framework to improve the safety of teleoperated retinal surgery.
- To ensure interaction forces remain within safe limits during robotic-assisted ophthalmic procedures.
- To enhance surgeon situational awareness and reduce misjudgment through haptic feedback.
Main Methods:
- Implementation of a force-constrained supervisory controller utilizing Control Barrier Functions (CBFs) and an interaction model.
- Modification of teleoperated inputs to maintain safe interaction forces at the slave robot's end-effector.
- Integration of haptic feedback from the master robot to the surgeon.
Main Results:
- Simulated membrane peeling experiments demonstrated the framework's effectiveness in a controlled intraocular surgical environment.
- The proposed control framework significantly reduced the rate of force constraint violations.
- Non-expert users operating the teleoperated system benefited from the enhanced safety features.
Conclusions:
- The haptic shared control framework effectively enhances safety in teleoperated retinal surgery by constraining interaction forces.
- CBF-based supervisory control offers a robust method for ensuring safety without requiring the robot's dynamic model.
- Haptic feedback improves surgeon performance and reduces the risk of errors in delicate ophthalmic procedures.
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