Magnetic microrobots are of considerable interest for non-invasive biomedical applications but it is challenging to develop a general strategy for controlling microrobot positions, for varying configurations and environments. Choi et al. develop a reinforcement learning control method, training the model in a simulation environment for initial exploration after which the learning process is transferred to a physical electromagnetic actuation system.
- Sarmad Ahmad Abbasi
- Awais Ahmed
- Hongsoo Choi
