Motion Analysis and Real-Time Trajectory Prediction of Magnetically Steerable Catalytic Janus Micromotors

@article{wu2022,
  author = {Wu, Jiaen and Folio, David and Zhu, Jiawei and Jang, Bumjin
    and Chen, Xiangzhong and Feng, Junxiao and Gambardella, Pietro and
    Jordi , Sort and Puigmarti-Luis, Josep and Ergeneman, Olgac and
    Ferreira, Antoine and Pané, Salvador},
  publisher = {Wiley},
  title = {Motion {Analysis} and {Real-Time} {Trajectory} {Prediction}
    of {Magnetically} {Steerable} {Catalytic} {Janus} {Micromotors}},
  journal = {Advanced Intelligent Systems},
  volume = {4},
  number = {11},
  date = {2022-09-21},
  url = {https://dfolio.fr/publications/articles/2022wuAIS.html},
  doi = {10.1002/aisy.202200192},
  issn = {2640-4567},
  langid = {en-US},
  abstract = {Chemically driven micromotors display unpredictable
    trajectories due to the rotational Brownian motion interacting with
    the surrounding fluid molecules. This hampers the practical
    applications of these tiny robots, particularly where precise
    control is a requisite. To overcome the rotational Brownian motion
    and increase motion directionality, robots are often decorated with
    a magnetic composition and guided by an external magnetic field.
    However, despite the straightforward method, explicit analysis and
    modeling of their motion have been limited. Here, catalytic Janus
    micromotors are fabricated with distinct magnetizations and a
    controlled self-propelled motion with magnetic steering is shown. To
    analyze their dynamic behavior, a dynamic model that can
    successfully predict the trajectory of micromotors in uniform
    viscous flows in real time by incorporating a form of
    state-dependent-coefficient with a robust two-stage Kalman filter is
    theoretically developed. A good agreement is observed between the
    theoretically predicted dynamics and experimental observations over
    a wide range of model parameter variations. The developed model can
    be universally adopted to various designs of catalytic
    micro-/nanomotors with different sizes, geometries, and materials,
    even in diverse fuel solutions. Finally, the proposed model can be
    used as a platform for biosensing, detecting fuel concentration, or
    determining small-scale motors’ propulsion mechanisms in an unknown
    environment.}
}