Bubble-propelled microrobots have an advantage of relatively swift movement compared to most other types of microrobots, which makes them well suited for applications such as micromanipulation or movement in flows, but their high speed also poses challenges in precisely controlling their motion. This study proposes automated control of the microrobots using visual feedback and steering with uniform magnetic fields to constrain the microrobot's moving direction. The implementation of a closed-loop control mechanism ensures precise autonomous navigation along prescribed trajectories. Experimental results demonstrate that this approach achieves satisfactory tracking performance, with an average error of 6. 7 m for a microrobot with a diameter of 24 m.