Cobot Magic represents an innovative solution for learning artificial intelligence at a lower cost. Typically, robots relied on complex programming or expensive Big Data models for their AI training.
By adopting an open-source model, inspired by Stanford University's Mobile Aloha project research team, Cobot Magic can process around 50 datasets per mission, with success rates reaching up to 80-90%. This learning and teaching framework does not require the significant budgetary resources associated with traditional programming.
In addition to universities and research laboratories, this solution may also interest large corporations. As a ready-to-use model for AI learning, Cobot Magic particularly appeals to companies involved in automation and embedded AI.