Magnetic Soft

Magnetic soft robotics focuses on designing and controlling robots made from soft, deformable materials actuated by external magnetic fields. Current research emphasizes developing computational models, such as the Material Point Method and Cosserat rod models coupled with deep reinforcement learning, to optimize robot designs for specific tasks like targeted drug delivery and minimally invasive surgery. This field is advancing the capabilities of miniaturized robots for biomedical applications and also exploring self-assembly techniques using magnetically programmable modules, improving control and efficiency. The resulting advancements promise significant impact on minimally invasive procedures and micro-scale manipulation.