物理实施例使信息处理能够超越在活性物质中的明确流量传感
Diptabrata Paul1, Nikola Milosevic2,3, Nico Scherf2,3
1Molecular Nanophotonics Group, Peter Debye Institute for Soft Matter Physics, Leipzig University, 04103 Leipzig, Germany.
Science advances
|March 13, 2026
概括
合成活性颗粒学会通过物理体现来导航隐藏的流动,而不是使用显式传感器. 这表明物理动力学如何可以作为活性物质的隐性传感机制.
科学领域:
- 活动物质物理学 活动物质物理学
- 生物启发的计算方法
- 机器人技术 机器人技术 机器人技术
背景情况:
- 微生物利用感官系统对环境做出反应.
- 在合成物质中复制感知和行为适应是具有挑战性的.
- 目前的合成活性物质缺乏复杂的环境反应.
研究的目的:
- 调查合成活性颗粒是否能够适应未被观察到的环境变化.
- 探索物理体现在活性物质信息处理中的作用.
- 通过物理动态来证明隐含的感知.
主要方法:
- 使用了自热性粒子.
- 雇员强化学习用于颗粒控制.
- 训练有素的粒子,以导航未被观察到的水力动力学扰动.
主要成果:
- 粒子成功地调整了导航策略,以抵消隐藏的流场.
- 证明了仅仅是物理体现就能够在没有明确感知的情况下进行适应.
- 展示了作为一个隐含的感知机制体现的动态.
结论:
- 物理体现作为活动物质的计算资源.
- 这种方法对自主微型机器人系统有影响.
- 建立了生物灵感计算和合成智能的新范式.
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