arXiv:2511.18486cs.ROcs.SY2025-11被引 4

通过动态反馈优化电流分配,显著扩大电磁导航系统工作空间。

Expanding the Workspace of Electromagnetic Navigation Systems Using Dynamic Feedback for Single- and Multi-agent Control

  • 采用以运动为中心的力矩/力目标与实时位姿估计
  • 单/双机器人控制下电流降低至0.1-0.2安培,仅原方案1/40
  • 适合需要高精度、大范围磁控的手术机器人研发

电磁导航系统(eMNS)在磁控手术中应用广泛,但其有效工作空间常受功率与热限制。本文通过系统级控制设计,显著降低实现目标运动所需的电流,从而扩展工作空间。提出五项关键方法:(i) 运动中心的力矩/力目标,(ii) 能量最优电流分配,(iii) 实时位姿估计,(iv) 动态反馈,(v) 高带宽eMNS组件。实验表明,在八线圈OctoMag系统上,通过替换场对齐策略为运动驱动方式,将3D倒立摆稳定所需电流从8–14安降至0.1–0.2安。进一步推广至多智能体控制,实现双倒立摆共享空间内独立操控,利用磁场非线性与线圈冗余特性。跨平台验证显示,临床导向的Navion eMNS可在距离线圈达50厘米处保持稳定平衡。结果证明,动态反馈是实现高效、可扩展、临床可行磁控的关键路径。

原文摘要 · Abstract (English)

Electromagnetic navigation systems (eMNS) enable a number of magnetically guided surgical procedures. A challenge in magnetically manipulating surgical tools is that the effective workspace of an eMNS is often severely constrained by power and thermal limits. We show that system-level control design significantly expands this workspace by reducing the currents needed to achieve a desired motion. We identified five key system approaches that enable this expansion: (i) motion-centric torque/force objectives, (ii) energy-optimal current allocation, (iii) real-time pose estimation, (iv) dynamic feedback, and (v) high-bandwidth eMNS components. As a result, we stabilize a 3D inverted pendulum on an eight-coil OctoMag eMNS with significantly lower currents (0.1-0.2 A vs. 8-14 A), by replacing a field-centric field-alignment strategy with a motion-centric torque/force-based approach. We generalize to multi-agent control by simultaneously stabilizing two inverted pendulums within a shared workspace, exploiting magnetic-field nonlinearity and coil redundancy for independent actuation. A structured analysis compares the electromagnetic workspaces of both paradigms and examines current-allocation strategies that map motion objectives to coil currents. Cross-platform evaluation of the clinically oriented Navion eMNS further demonstrates substantial workspace expansion by maintaining stable balancing at distances up to 50 cm from the coils. The results demonstrate that feedback is a practical path to scalable, efficient, and clinically relevant magnetic manipulation.

电磁导航手术机器人动态反馈多智能体控制

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