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适应式共享级联导航控制在非结构化动态环境中的磁性微机器人
IEEE transactions on cybernetics
|February 10, 2026
概括
本研究介绍了磁性微机器人的人机共享控制方法,增强了复杂环境中的导航. 该系统集成了人类智能和机器自主性,以实现更安全,更有效的微型机器人控制.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 生物医学工程 生物医学工程
背景情况:
- 对磁性微机器人进行精确的控制对于目标治疗等应用至关重要,但在动态环境中具有挑战性.
- 手动远程操作和完全自主系统在强度和适应性方面存在局限性.
研究的目的:
- 为磁驱动微机器人提出一个人机共享级联控制方法.
- 通过整合人类智能和机器自主性,在动态环境中实现无碰撞导航.
主要方法:
- 一个外环混合共享控制单元根据碰撞风险调节控制权.
- 一个内环自适应定向控制器使用高斯过程回归 (GPR) 和虚拟参考反调整 (VRFT).
主要成果:
- 人体研究表明,共享控制策略在成功率,完成时间,稳定性和安全性 (p < 0.001) 方面明显优于手动和自动模式.
- 在复杂的胃模型中成功导航,证明了在非结构化环境中的实用性.
结论:
- 拟议的人机共享控制方法为磁性微机器人导航提供了强大而适应性的解决方案.
- 这种方法提高了微机器人的性能和安全性,为先进的治疗和微操作应用铺平了道路.
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