论文标题
在复杂和嘈杂的环境中的Microswimmers的最佳导航
Optimal navigation of microswimmers in complex and noisy environments
论文作者
论文摘要
我们设计了新的导航策略，以在复杂和嘈杂的环境中进行微观自旋转颗粒的旅行时间优化。与依赖最佳控制理论结果的策略相反，这些协议允许半自治导航，因为它们不需要通过外部反馈循环控制微观运动员运动。尽管我们提出的策略依赖于简单的原则，但它们显示出与从随机最佳控制理论中获得的统计数据非常相似，以及对环境变化和强烈波动的稳健性能。这些功能以及它们对更一般优化问题的适用性，使这些策略有望实现优化的半自治导航。
We design new navigation strategies for travel time optimization of microscopic self-propelled particles in complex and noisy environments. In contrast to strategies relying on the results of optimal control theory, these protocols allow for semi-autonomous navigation as they do not require control over the microswimmer motion via external feedback loops. Although the strategies we propose rely on simple principles, they show arrival time statistics strikingly similar to those obtained from stochastic optimal control theory, as well as performances that are robust to environmental changes and strong fluctuations. These features, as well as their applicability to more general optimization problems, make these strategies promising candidates for the realization of optimized semi-autonomous navigation.
