Danu Robotics Bets on Smarter Sorting as Recycling’s Hardest Problem
For six years, Danu Robotics founder Amy Ma has pursued a deceptively difficult goal: building a robot that can sort recyclable waste more accurately, quickly, and economically than the systems now used in materials recovery facilities. The effort sits at the intersection of frontier AI, industrial automation, and the global push to improve recycling rates, where technical progress has often lagged behind policy ambition. Danu’s work reflects a broader industry challenge. Recycling streams are messy, inconsistent, and contaminated, making them far harder for machines to interpret than controlled factory environments. If Ma’s approach succeeds, it could help reshape how waste is processed at scale and improve the economics of recycling operations worldwide.