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Industrial robots are extremely complex, often resulting from the efforts of numerous software and hardware engineers. While these systems seem far removed from programming languages designed for education, block-based languages like Snap! provide highly relevant paradigms for understanding how non-experts can easily and intuitively use robotics systems. This talk will discuss a series of case studies using Snap! with a Digit, a human-centric, bipedal robot designed for work in warehouses. Snap! blocks have enabled people without previous expertise to experience what is possible with a state-of-the-art robot, leading to more engaging outreach efforts and providing crucial lessons about how to make complex systems easy for anyone to use.