Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms

Intelligent microrobot systems at the microscopic scale provide enormous opportunities for emerging biomedical and environmental applications. Herein, a multiagent stochastic feedback control framework to control colloidal microrobot swarms for capturing Brownian cargo particles in complex environme...

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Autores principales:	Kun Xu, Yuguang Yang, Bo Li
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	artificial intelligence colloidal microrobot swarms multiagents multitasking Computer engineering. Computer hardware TK7885-7895 Control engineering systems. Automatic machinery (General) TJ212-225
Acceso en línea:	https://doaj.org/article/e8e7640bb7824d84a69289672f7ea098
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id	oai:doaj.org-article:e8e7640bb7824d84a69289672f7ea098
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spelling	oai:doaj.org-article:e8e7640bb7824d84a69289672f7ea0982021-11-23T07:58:48ZBrownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms2640-456710.1002/aisy.202100115https://doaj.org/article/e8e7640bb7824d84a69289672f7ea0982021-11-01T00:00:00Zhttps://doi.org/10.1002/aisy.202100115https://doaj.org/toc/2640-4567Intelligent microrobot systems at the microscopic scale provide enormous opportunities for emerging biomedical and environmental applications. Herein, a multiagent stochastic feedback control framework to control colloidal microrobot swarms for capturing Brownian cargo particles in complex environments such as mazes is proposed. The decision‐making module in the control framework consists of the adaptive generation of target sites surrounding the cargo, optimal target assignment, and approximate motion planning. The stochastic trajectories of robot swarms are efficiently navigated toward their exclusively assigned target around the cargo particle and enable the cargo to be captured. The capture strategy realized by the control framework is robust, adaptive, and flexible in that it accommodates diverse local geometries in the vicinity of a cargo, swarm, and maze sizes and is able to spontaneously split the workforce to catch multiple Brownian cargo particles via multitasking. The present intelligent robot swarm enabled by the multiagent control offers a path to realize complex functions at the microscopic scale in a resilient and flexible manner.Kun XuYuguang YangBo LiWileyarticleartificial intelligencecolloidal microrobot swarmsmultiagentsmultitaskingComputer engineering. Computer hardwareTK7885-7895Control engineering systems. Automatic machinery (General)TJ212-225ENAdvanced Intelligent Systems, Vol 3, Iss 11, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	artificial intelligence colloidal microrobot swarms multiagents multitasking Computer engineering. Computer hardware TK7885-7895 Control engineering systems. Automatic machinery (General) TJ212-225
spellingShingle	artificial intelligence colloidal microrobot swarms multiagents multitasking Computer engineering. Computer hardware TK7885-7895 Control engineering systems. Automatic machinery (General) TJ212-225 Kun Xu Yuguang Yang Bo Li Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms
description	Intelligent microrobot systems at the microscopic scale provide enormous opportunities for emerging biomedical and environmental applications. Herein, a multiagent stochastic feedback control framework to control colloidal microrobot swarms for capturing Brownian cargo particles in complex environments such as mazes is proposed. The decision‐making module in the control framework consists of the adaptive generation of target sites surrounding the cargo, optimal target assignment, and approximate motion planning. The stochastic trajectories of robot swarms are efficiently navigated toward their exclusively assigned target around the cargo particle and enable the cargo to be captured. The capture strategy realized by the control framework is robust, adaptive, and flexible in that it accommodates diverse local geometries in the vicinity of a cargo, swarm, and maze sizes and is able to spontaneously split the workforce to catch multiple Brownian cargo particles via multitasking. The present intelligent robot swarm enabled by the multiagent control offers a path to realize complex functions at the microscopic scale in a resilient and flexible manner.
format	article
author	Kun Xu Yuguang Yang Bo Li
author_facet	Kun Xu Yuguang Yang Bo Li
author_sort	Kun Xu
title	Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms
title_short	Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms
title_full	Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms
title_fullStr	Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms
title_full_unstemmed	Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms
title_sort	brownian cargo capture in mazes via intelligent colloidal microrobot swarms
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/e8e7640bb7824d84a69289672f7ea098
work_keys_str_mv	AT kunxu browniancargocaptureinmazesviaintelligentcolloidalmicrorobotswarms AT yuguangyang browniancargocaptureinmazesviaintelligentcolloidalmicrorobotswarms AT boli browniancargocaptureinmazesviaintelligentcolloidalmicrorobotswarms
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Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms

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