I. Introduction
Untethered microrobots offer promising capabilities in micromanipulation, biosensing, targeted delivery, and minimally invasive surgery [1]–[5]. Driven by external fields, these remotely actuated micromachines are able to be navigated in complex media to perform demanding tasks, such as active delivery in bovine vitreous humor, blood, peritoneal cavity, and gastrointestinal tract [6]–[9]. However, the tiny size and volume of a single microrobot limit the delivery capability, thus, repeated delivery procedures are required. Recently, introducing collective behaviors of microrobots holds great potential in tackling these challenges [10], [11]. Compared to the application of individual microrobot, the usage of collective microrobots enables controlled delivery in a batch (e.g., materials, drugs, and energy) [12]–[14], and the gathering of microrobots also enhances the contrast of medical imaging [15]. However, the navigation of collective microrobots in dynamic environments (e.g., blood vessels) encounters challenges, which are mainly caused by the impact of fluid flow and the heterogeneous fluidic environment [16]. The collective pattern may be disrupted by fluidic drag, challenging navigation efficiency, and access rate.