Long‐Distance Autonomous Navigation of Optical Microrobotic Swarms in Complex Environments DOI Creative Commons
Zhihan Chen, Siyuan Huang, Yuebing Zheng

и другие.

Advanced Intelligent Systems, Год журнала: 2024, Номер 6(12)

Опубликована: Сен. 19, 2024

The local force field generated by light endows optical microrobots with remarkable flexibility and adaptivity, promising significant advancements in precise medicine cell transport. Nevertheless, the automated navigation of multiple intricate, dynamic environments over extended distances remains a challenge. In this study, we introduce versatile control strategy aimed at navigating microrobotic swarms to distant targets under obstacles varying sizes, shapes, velocities. By confining all within manipulation domain, ensure swarm integrity while mitigating effects Brownian motion. Obstacle's elliptical approximation is developed facilitate efficient obstacle avoidance for swarms. Additionally, integrate several supplementary functions enhance robustness intelligence, addressing uncertainties such as collapse, particle immobilization, anomalous laser-obstacle interactions real microscopic environments. We further demonstrate efficacy versatility our proposed achieving autonomous long-distance series targets. This compatible both trapping- nudging-based swarms, representing advancement enabling undertake complex tasks drug delivery nanosurgery understanding collective motions.

Язык: Английский

Continuous Porous Aromatic Framework Membrane with Acid/Base-induced Reversible Isomerization for Switchable Ion Conductivity DOI Creative Commons
Jian Song,

Hengtao Lei,

Lin Lin

и другие.

Chemical Science, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Continuous porous aromatic framework membranes were designed and constructed to achieve the first example of ion conductive frameworks continuous that dynamically respond chemical acid/base stimulus.

Язык: Английский

Процитировано

0

Flow of information in a mechanically quenched confined flock DOI
Md Samsuzzaman, M. Hasanuzzaman, Arnab Saha

и другие.

Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Год журнала: 2025, Номер 481(2312)

Опубликована: Апрель 1, 2025

Living organisms in a group communicate and transfer information to one another for variety of reasons. It might be foraging food, migration, or escaping threats obstacles etc. They do so by interacting with each other also the environment. The tools from statistical mechanics theory can useful analyse flow among living modelled as active (i.e. self-propelling) particles. Here, we consider particles confined circular trap. self-organization crucially depends on whether trap boundary is soft hard. We quench hard instantaneously. After mechanical quench, suddenly find themselves potential. self-organized cluster particles, which was stable when soft, becomes unstable. undergoes extreme deformation after configuration suitable Together structural relaxation, regarding flows throughout deforming cluster. quantify computing local entropy. that spans whole cluster, propagating ballistically.

Язык: Английский

Процитировано

0

Tuning responsivity-persistence trade-off in swarm robotics: A motion salience threshold approach DOI

Y. Li,

Zhicheng Zheng, Yalun Xiang

и другие.

Robotics and Autonomous Systems, Год журнала: 2025, Номер unknown, С. 105055 - 105055

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Heat production in a stochastic system with nonlinear time-delayed feedback DOI
Robin A. Kopp, Sabine H. L. Klapp

Physical review. E, Год журнала: 2024, Номер 110(5)

Опубликована: Ноя. 20, 2024

Using the framework of stochastic thermodynamics we study heat production related to motion a particle driven by repulsive, nonlinear, time-delayed feedback. Recently it has been shown that this type feedback can lead persistent above threshold in parameter space [R. A. Kopp et al., Phys. Rev. E 107, 024611 (2023)2470-004510.1103/PhysRevE.107.024611]. Here investigate, numerically and analytical methods, rate different regimes around motion. We find nonzero average rate, 〈q[over ̇]〉, already below threshold, indicating nonequilibrium character system even at small In regime, compare results for corresponding linearized delayed small-delay approximation which provides reasonable description ̇]〉 repulsion (or delay time). Beyond is much larger shows maximum as function time. be approximated subject constant force stemming from long-time velocity deterministic limit. The distribution dissipated heat, however, non-Gaussian, contrary constant-force case.

Язык: Английский

Процитировано

0

Semianalytical model of optothermal fluidics in a confinement DOI Creative Commons
Tetsuro Tsuji, Shun Saito, Satoshi Taguchi

и другие.

Physical Review Fluids, Год журнала: 2024, Номер 9(12)

Опубликована: Дек. 13, 2024

In this paper, we provide the semianalytical solution of temperature and flow fields a fluid confined in narrow space between two parallel plates. The increase is triggered by photothermal effects fluids and/or boundaries due to absorption focused Gaussian beam irradiated perpendicular film, then variation induces through buoyancy force thermo-osmotic slip. optothermal fluidic system validated comparing with results numerical simulation, applied typical problems. particular, trap nanoparticles observed our previous experiment [Tsuji , ] investigated terms thermophoretic drag that are obtained semianalytically. can be shared open-source codes available researchers without background mechanics. Published American Physical Society 2024

Язык: Английский

Процитировано

0

Long‐Distance Autonomous Navigation of Optical Microrobotic Swarms in Complex Environments DOI Creative Commons
Zhihan Chen, Siyuan Huang, Yuebing Zheng

и другие.

Advanced Intelligent Systems, Год журнала: 2024, Номер 6(12)

Опубликована: Сен. 19, 2024

The local force field generated by light endows optical microrobots with remarkable flexibility and adaptivity, promising significant advancements in precise medicine cell transport. Nevertheless, the automated navigation of multiple intricate, dynamic environments over extended distances remains a challenge. In this study, we introduce versatile control strategy aimed at navigating microrobotic swarms to distant targets under obstacles varying sizes, shapes, velocities. By confining all within manipulation domain, ensure swarm integrity while mitigating effects Brownian motion. Obstacle's elliptical approximation is developed facilitate efficient obstacle avoidance for swarms. Additionally, integrate several supplementary functions enhance robustness intelligence, addressing uncertainties such as collapse, particle immobilization, anomalous laser-obstacle interactions real microscopic environments. We further demonstrate efficacy versatility our proposed achieving autonomous long-distance series targets. This compatible both trapping- nudging-based swarms, representing advancement enabling undertake complex tasks drug delivery nanosurgery understanding collective motions.

Язык: Английский

Процитировано

0