协作机器人神经外科手术的非线性力反馈增强强化皮层表面的虚拟边界

Elisa Beretta, G. Ferrigno, E. Momi
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引用次数: 3

摘要

外科医生可以在重复执行软组织精确定位任务时受益于机器人助手的合作,例如开颅神经外科中的脑皮层刺激程序。基于位置的力-运动控制方案可能不是一个令人满意的解决方案,以提供机械臂在沿宽轨迹制导时所需的高顺应性。提出了一种新型的非线性力反馈增强力矩控制器,从仪器与组织的相互作用中为操作者提供增强的触觉感知。根据不同的非线性力调制函数(幂函数、s形函数和弧切函数)进行了系统稳定性仿真试验。具有功率调制的FFE控制器通过使用模拟大脑的明胶模型(浓度为8-16%)的非专家用户池进行了实验验证。除了为稳定持有工具提供手部震颤抑制外,FFE控制器还被证明可以在没有力反馈的机器人辅助和徒手执行方面实现更安全的组织接触(分别减少50%和75%的压痕深度)。未来的工作将与专家外科医生一起对FFE控制器的安全性进行评估,同时考虑到癫痫发作期间由于皮质刺激导致的不可预测的组织运动。
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Nonlinear Force Feedback Enhancement for Cooperative Robotic Neurosurgery Enforces Virtual Boundaries on Cortex Surface
Surgeons can benefit from the cooperation with a robotic assistant during the repetitive execution of precise targeting tasks on soft tissues, such as brain cortex stimulation procedures in open-skull neurosurgery. Position-based force-to-motion control schemes may not be satisfactory solution to provide the manipulator with the high compliance desirable during guidance along wide trajectories. A new torque controller with nonlinear force feedback enhancement (FFE) is presented to provide augmented haptic perception to the operator from instrument-tissue interaction. Simulation tests were performed to evaluate the system stability according to different nonlinear force modulation functions (power, sigmoidal and arc tangent). The FFE controller with power modulation was experimentally validated with a pool of nonexpert users using brain-mimicking gelatin phantoms (8–16% concentration). Besides providing hand tremor rejection for a stable holding of the tool, the FFE controller was proven to allow for a safer tissue contact with respect to both robotic assistance without force feedback and freehand executions (50% and 75% reduction of the indentation depth, respectively). Future work will address the evaluation of the safety features of the FFE controller with expert surgeons on a realistic brain phantom, also accounting for unpredictable tissue motions as during seizures due to cortex stimulation.
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