Chemotaxis of sea urchin sperm cells through deep reinforcement learning. (arXiv:2209.07407v1 [cs.NE])

By imitating biological microswimmers, microrobots can be designed to
accomplish targeted delivery of cargos and biomedical manipulations at
microscale. However, it is still a great challenge to enable microrobots to
maneuver in a complex environment. Machine learning algorithms offer a tool to
boost mobility and flexibility of a synthetic microswimmer, hence could help us
design truly smart microrobots. In this work, we investigate how a model of sea
urchin sperm cell can self-learn chemotactic motion in a chemoattractant
concentration field. …

arxiv cells reinforcement reinforcement learning