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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\u2010making 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.<\/jats:p><\/jats:sec>","DOI":"10.1002\/aisy.202100115","type":"journal-article","created":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T07:03:01Z","timestamp":1627282981000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms"],"prefix":"10.1002","volume":"3","author":[{"given":"Kun","family":"Xu","sequence":"first","affiliation":[{"name":"Institute of Biomechanics and Medical Engineering Applied Mechanics Laboratory Department of Engineering Mechanics Tsinghua University  Beijing 100084 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuguang","family":"Yang","sequence":"additional","affiliation":[{"name":"Institute of Biomechanics and Medical Engineering Applied Mechanics Laboratory Department of Engineering Mechanics Tsinghua University  Beijing 100084 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3792-2469","authenticated-orcid":false,"given":"Bo","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Biomechanics and Medical Engineering Applied Mechanics Laboratory Department of Engineering Mechanics Tsinghua University  Beijing 100084 China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,7,26]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.1002\/anie.201406096","volume":"54","author":"Sanchez S.","year":"2015","journal-title":"Angew. 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