Micro/nanorobots (MNRs) are capable of autonomous motion, breaking through the limitations of traditional passive transport of nanocarriers. Among them, chemically driven MNRs are the earliest MNRs studied and have received extensive attention from researchers. This review first focuses on the material properties, preparation, driving forms, and mechanisms of chemically driven MNRs. The current status of research on chemically driven MNRs in biomedicine is summarized for various biological applications (drug delivery, diagnostics, anti-inflammatory, antibacterial, and disease treatment). In terms of biosafety, possible safety issues are analyzed in the context of chemically driven microrobotic applications in terms of three aspects: component characteristics, chemical engines and biological environment. Finally, the challenges and possible future directions of chemically driven MNRs are presented.

With the development of nanotechnology, micro/nanorobots (MNRs) have become promising medical tools given their advantages of unconstrained and precisely controlled navigation. However, given the complexity of MNRs’ dynamic biological environments and the limitations of current experimental methods, it remains challenging to simulate the motion mechanism, functional implementation strategy, and adaptability of MNRs in dynamic environments. Finite element analysis (FEA) plays an important role in MNR research; thorough review of state‐of‐the‐art research on MNRs. FEA is used to simulate MNRs motion mechanism, and theoretical models combined with experimental results are proposed to explain the motion mechanism. FEA can reduce the error rate of experiments. Combined with the simulation results, the optimal scheme is selected for experiments, and a reliable design strategy of MNRs is obtained. FEA has become a more effective method to obtain the optimal design of MNRs for in vivo applications. Therefore, herein, the design and driving mechanism of MNRs, the different solutions proposed for complex dynamic environments, and the use of FEA in the related research are introduced by this review. The current challenges and future research directions of FEA combined with external field‐driven MNRs are summarized.