Shared Control of Tendon-Driven Continuum Robots Using Visibility-Guaranteed Optimization for Endoscopic Surgery

IF 3.4 Q2 ENGINEERING, BIOMEDICAL IEEE transactions on medical robotics and bionics Pub Date : 2024-03-25 DOI:10.1109/TMRB.2024.3381371
Zhen Deng;Xiaoxiao Wei;Chuanchuan Pan;Guotao Li;Ying Hu
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Abstract

Tendon-driven continuum robots (TDCRs) with mechanical compliance have gained popularity in natural orifice transluminal endoscopic surgery (NOTES). Teleoperation problems of the TDCRs involve performance objectives in addition to the visibility constraint. Handling the coupling between potentially conflicting objectives and the visibility constraint remains challenging for surgeons when operating TDCRs. This paper presents a shared control method to assist in the teleoperation of the TDCRs, which guarantees visual targets remain within the field of view (FoV) of the TDCR. The visibility constraint is explicitly defined using a zeroing control barrier function, which is specified in terms of the forward invariance of a visible set. To ensure accuracy, the Jacobian matrix of the system is approximated online using sensing data. Then, the visibility constraint, along with the robot’s physical constraints, is integrated into a quadratic program (QP) framework. This allows for the optimization of the control input of the operator subject to constraints, thus preserving visibility. Finally, simulations and experiments were conducted to demonstrate the effectiveness of the proposed approach under two teleoperation modes. The results show that the proposed method achieved a reduction of approximately 70% in ITP and 43% in MAE compared to direct teleoperation.
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利用可见度保证优化技术实现内窥镜手术中腱鞘驱动连续机器人的共享控制
具有机械顺应性的腱驱动连续机器人(TDCR)在自然孔腔内窥镜手术(NOTES)中越来越受欢迎。TDCR 的远程操作问题除了可见性约束外,还涉及性能目标。外科医生在操作 TDCRs 时,处理潜在冲突目标与可见度约束之间的耦合问题仍然是一项挑战。本文提出了一种辅助远程操作 TDCR 的共享控制方法,该方法可确保视觉目标保持在 TDCR 的视野 (FoV) 内。可视性约束是利用归零控制障碍函数明确定义的,该函数是根据可视集的前向不变性指定的。为确保准确性,系统的雅各布矩阵使用传感数据进行在线近似。然后,将可见度约束和机器人的物理约束整合到二次方程程序(QP)框架中。这样,操作员的控制输入就能在约束条件下得到优化,从而保持可见性。最后,还进行了模拟和实验,以证明所提方法在两种远程操作模式下的有效性。结果表明,与直接远程操作相比,所提出的方法在 ITP 和 MAE 方面分别降低了约 70% 和 43%。
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Table of Contents IEEE Transactions on Medical Robotics and Bionics Society Information Guest Editorial Special section on the Hamlyn Symposium 2023—Immersive Tech: The Future of Medicine IEEE Transactions on Medical Robotics and Bionics Publication Information IEEE Transactions on Medical Robotics and Bionics Information for Authors
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