With recent requirements for reducing greenhouse gas emissions of autonomous ships, an emerging body of research is focused on assessing the path-following performance of maritime autonomous surface ships (MASS) at low speeds under adverse weather conditions. To combat the poor accuracy of traditional methods, in a new study, researchers investigated the path-following performance of MASS using a free-running computational fluid dynamics model. Their findings can help ensure safer autonomous navigation with reduced propulsion power.