Flotation is one of the most mature applications of industrial AI in mineral processing: closed-loop reinforcement-learning controllers like Imubit already write setpoints directly to plant control systems rather than just recommending them to an operator. This category covers that closed-loop control approach, the froth-camera vision models that feed it, and soft-sensor models that predict flotation performance without a physical sensor in the loop.
It also covers the plant-integration and ore-blending work - stockpile and plant-feed strategy, mill surveys, and the operational-variability challenges of connecting a model trained on historical data to a live DCS.