计算机科学
人机交互
比例(比率)
人工智能
集体运动
量子力学
物理
作者
Qianqian Wang,Jiachen Zhang,Jiangfan Yu,Ji Lang,Zhiyang Lyu,Yunfei Chen,Zifeng Zhang
出处
期刊:ACS Nano
[American Chemical Society]
日期:2023-07-13
卷期号:17 (14): 13081-13109
被引量:6
标识
DOI:10.1021/acsnano.3c05328
摘要
Untethered small-scale machines (USSMs) that can actively adjust their motion, deformation, and collective states in response to external stimuli have gained enormous interest in various manipulation, sensing, and biomedical applications. Because they can be efficiently operated in confined and tortuous environments, USSMs are capable of conducting wireless microrobotic manipulation tasks that tethered machines find hard to achieve. Over the past decade of development, significant research progress has been achieved in designing USSM-based manipulation strategies, which are enabled by investigating machine-object, machine-environment, and machine-machine interactions. This review summarizes the latest developments in USSMs for microrobotic manipulation by utilizing individual machines, coordinating multiple machines, and inducing collective behaviors. Providing recent studies and relevant applications in microrobotic and biomedical areas, we also discuss the challenges and future perspectives facing USSMs-based intelligent manipulation systems to achieve manipulation in complex environments with imaging-guided processes and increasing autonomy levels.
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